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Dissertations / Theses on the topic 'Smart Factory'
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Sandberg, Pontus. "A work process supporting the implementation of smart factory technologies developed in smart factory compliant laboratory environment." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44257.
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The industry is facing major challenges today. The challenges are tougher global competition, customers who require individualized products and shorter product lifecycles. The predicted industrial revolution is a way to deal with these challenges. Industry 4.0 includes strategies linked to several technologies that will meet the new needs. Smart factory is a central concept in industry 4.0, which involves connected technologies of various kinds. Such as digital manufacturing technology, network communication technology, computer technology, automation technology and several other areas. In this work, these were defined as smart factory technologies. Implementing such technologies will result in improved flexibility, resource productivity and efficiency, quality, etc. But, implementing smart factory technologies poses major challenges for the companies. Laboratory environments can be utilized to address the challenges. This results in a new problem, how to transfer a smart factory technology developed in a laboratory environment to a full-scale production system. In the literature study no, structured approach was identified to handle this challenge. Therefore, the purpose of this work was to: create a work process that supports the technology transfer from a smart factory compliant laboratory environment to a full-scale production system. To justify the purpose, the following research questions were answered: RQ1: What are the differences in the operating environment between the laboratory and the full-scale production system? RQ2: How is a smart factory technology determined ready to be implemented into a full-scale production system? RQ3: What critical factors should a work process for the implementation of smart factory technologies include? The research questions were answered by conducting a multiple-case study in collaboration with Scania CV AB. During the case studies, interviews, observations and other relevant types of data collection were conducted. The results were as follows: RQ1: How difficult it is to transfer a technology from a laboratory environment to a full-scale production system depends on how large the differences between these are. The general difference is that laboratory environments are used to experiment and develop technologies and a full-scale production system is used to produce products. Some want the laboratory environment to be an exact copy of a full-scale production system, but this is not appropriate because it means you lose the freedom of experimentation and it would be much more expensive. RQ2: Determining whether a smart factory technology is ready consists of two parts, laboratory activities and pilot testing. A structured assessment method has been developed. The laboratory operations reduce the risks and contribute to raising the degree of maturity of the technology. In pilot testing, it is important not to interfere with the full-scale production system stability. This is the reason for doing pilot testing in a delimited area first and checking that the technology works as desired. RQ3: The critical factors identified were: competence and knowledge, technology contributing to improvements, considering risks with implementation, cost versus potential improvement, clear goals and reason for implementation and communication.
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Sirigu, Giovanni. "Progettazione di Gateway Edge per Smart Factory." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17589/.
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Il presente lavoro di tesi riguarda la progettazione e realizzazione di un Gateway Edge programmabile per la Smart Factory che consenta il monitoraggio di macchine industriali, con lo scopo di integrarle con i sistemi informativi aziendali.
Il sistema sviluppato presenta come nucleo il Raspberry-Pi model 3 B+ al quale vengono integrate una serie di interfacce di comunicazione wireless e cablate ed interfacce I/O sia di tipo analogico che digitale.
Il lavoro ha avuto inizio con lo studio del mondo IoT e del mondo Smart Factory il quale ha portato alla progettazione hardware del Gateway Edge. Si è quindi sviluppato un circuito stampato da integrare al Raspberry-Pi e si sono conseguentemente sviluppate librerie in Python per l’interfacciamento con le periferiche.
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Giovannini, Alessandro. "Tecnologie applicate a contesti di Smart Factory." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.
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In increasingly large and complex companies there is the need to better organize and track production activities, trying to monitor both environments and workers in real time.
In an age that is in continuous development, changes take place rapidly, the objects that are used daily are always more intelligent and consequently also the way of man to interact with technologies both at home and in the workplace changes.
Technological innovation, linked to the new Industry 4.0 concepts, has an impact on the entire world of work, including physical spaces.
The new requirement of the worker is that of being able to have technologies that ensure mobility, rapid and stable connectivity to promote greater efficiency.
Digital technologies such as cloud, mobile, the Internet of Things, Big Data Management and Artificial Intelligence support business activities every day.
The companies that will succeed in the future will be those that will succeed in achieving a balance between productivity, inclusion and a personal approach that takes into account a new way of working.
A strength that will certainly characterize the new workplaces will be the ability to provide employees with pre-configured and cloud-ready devices that allow them to design creative, productive and safer work spaces.
The purpose of the work was to design and go on to define a device that can interconnect work environments with employees and vehicles present, monitor and track goods.
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Regard, Mikael. "Process Chain Optimization in a Smart Factory." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232185.
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The purpose with this thesis is to reduce downtime of machines androbots in a serial production line by improving communication betweenoperators and machines. Modeling a serial production line asa queuing system makes Markov chain optimization methods possible.The concept is to make machines and robots adapt its service ratesbased on status of its surrounding machines and the position of operators.In a pharmaceutical industry, a production rate of 50-60% of itsmaximum capacity is considered as normal. Unnecessary downtimecaused by machine breakdowns is one factor which reduces the productionrate. Two optimization methods were investigated, the workallocation problem and the targeting problem. It was found that thework allocation problem does not provide an optimal solution whenmodeling with a saturated model. The targeting problem provides anoptimal solution, which is a trade-off between the average amount ofproducts in a system and the cost for keeping this level.Målet med detta examensarbete är att minimera driftstopp i en seriellproduktionlina genom att förbättra kommunikationen mellan operatöreroch maskiner. Genom att modellera en produktionslina somett kösystem möjligör användandet av optimeringsmetod för markovkedjor.Konceptet är att låta maskiner och robotar anpassa sin produktionshastighetbaserat på positionen av operatörer. Inom läkemedelsindustrinär en produktionshastighet om 50-60% av den maximala kapacitetenansedd som normalt. Onödigt långa driftstopp i sambandmed maskinfel är en faktor som påverkar produktionshastigheten. Tvåoptimeringsmetoder studerades, Åork Allocation Problemöch TargetingProblem". Det visades att det inte var möjligt att hitta en optimallösning med hjälp av Åork Allocation Problem". Targeting Problemggeren optimal lösning som är en avvägning mellan det genomsnittligaantalet produktion i ett system och kostnaden för att hålla den nivån.
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Gwinner, Andreas. "Implementation framework to realize the Smart Factory : Development of a practical framework to leverage the organizational implementation of the Smart Factory." Thesis, Tekniska Högskolan, Jönköping University, JTH, Produktionsutveckling, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49864.
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Global megatrends and the resulting challenges for manufacturing companies, have brought up the concept of Industry 4.0 (I4.0) and its heart the Smart Factory (SF). Through I4.0 and the application of SF companies can increase their creation of value, however the degree of value depends on the way of implementation. Scholars and studies of successful SF implementation are still in an infant stage, and companies find little guidance in literature. Therefore, research question one targets on how to implement the SF and research question two on the investigation of success factors, challenges and outcomes of the successful SF implementation. The literature review included 216 scholars in the field of SF implementation. On this basis, a theoretical proposition was developed, to guide data collection and analysis. For development of the practical framework, multiple case studies have been chosen. Through an orientation study, seven cases in a multinational manufacturing company have been selected for the research. The developed framework has been validated again with the experts in the company. The developed implementation framework consists out of two parts. A strategic implementation process, including a SF maturity model to support the gradual advancement towards the SF and an operational implementation process for SF technologies, to advance to the higher maturity level. The framework represents a step-by-step approach including key activities, success factors and challenges of each phase. To justify an implementation, different outcomes have been clustered and organized to provide an overview. As this work is based on the current advancement of the research field, it first provides a condensed summary of SF implementation and second, through answering RQ1 and RQ2 closes research gaps. Hence, it contributes to the further advancement of the research field by providing a clear framework on the implementation approach and key factors, as well as a starting point for further research. With the SF implementation framework, this work provides the missing connection between a directed strategic approach and new technology implementation with a step-by-step guideline to facilitate the implementation of SF. The framework represents a guideline, to be used by managers, including the most important aspects to consider.
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Hellberg, Jack, and Julia Ekstrand. "Information Requirements Supporting Operational Decisions in a Smart Factory." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39791.
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Schöndorfer, Sebastian. "Design and implementation of robotic end-effectors for a prototype precision assembly system." Thesis, Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31811.
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Manufacturers are facing increasing pressure to reduce the development costs and deployment times for automated assembly systems. This is especially true for a variety of precision mechatronic products. To meet new and changing market needs, the difficulties of integrating their systems must be significantly reduced. Since 1994, the Microdynamic Systems Laboratory at Carnegie Mellon University has been developing an automation framework, called Agile Assembly Architecture (AAA). Additionally to the concept, a prototype instantiation, in the form of a modular tabletop precision assembly system termed Minifactory, has been developed. The platform, provided by the Minifactory and AAA, is able to support and integrate various precision manufacturing processes. These are needed to assemble a large variety of small mechatronic products. In this thesis various enhancements for a second generation agent-based micro assembly system are designed, implemented, tested and improved. The project includes devising methods for tray feeding of precision high-value parts, micro fastening techniques and additional work on visual- and force-servoing. To help achieving these functions, modular and reconfigurable robot end-effectors for handling millimeter sized parts have been designed and built for the existing robotic agents. New concepts for robot end effectors to grasp and release tiny parts, including image processing and intelligent control software, were required and needed to be implemented in the prototype setup. These concepts need to distinguish themselves largely from traditional handling paradigms, in order to solve problems introduced by electrostatic and surface tension forces, that are dominant in manipulating parts that are millimeter and less in size. In order to have a modular system, the factory the main part of this project was the initialization and auto calibration of the different agents. The main focus, of this research, is on improving the design, deployment and reconfiguration capabilities of automated assembly systems for precision mechatronic products. This helps to shorten the development process as well as the assembly of factory systems. A strategic application for this approach is the automated assembly of small sensors, actuators, medical devices and chip-scale atomic systems such as atomic clocks, magnetometers and gyroscopes.
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Nardiello, Vincenzo. "Analisi della propagazione radio in ambiente industriale per applicazioni smart factory." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21838/.
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Questa tesi presenta una panoramica del nuovo scenario industriale con l'avvento delle smart factory e delle tecnologie ad esse legate.
Vengono prese in considerazione anche strumenti, quali i droni e i sistemi Ultra-Wide-Band, che sono soggetti tutt'ora a studi sperimentali per il loro notevole potenziale applicativo. Di tali strumenti si cerca di studiare l'efficienza in un ambiente industriale.
L'elaborato propone inoltre risultati e analisi di misurazioni effettuate in uno scenario reale, una smart factory, al fine di caratterizzate il canale radio e offrire dati per possibili studi futuri nelle interferenze, nei collegamenti e nell'utilizzo dei droni in ambito industriale.
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Jennings, Brandon Douglas. "Leveraging smart system design to collect and analyze factory production data." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117969.
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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2018.Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 54-55).
Li & Fung deals with many factories that are very geographically dispersed. These facilities generally do not have the capital available to invest in new technologies and processes, and the extremely manual nature of garment fabrication is the standard as a result. As customers continue to demand quicker product turn-arounds and higher levels of customization, factories need to better understand their current process limitations in an effort to optimize their internal operations. Since most of these factories collect virtually no process data, managers have a hard time focusing on areas in which to improve. This project is approaching the question of "how can we use technology in a responsible and sustainable way to better understand our process?" from the perspective of a factory manager, who cannot necessarily invest in sophisticated software and hardware systems that other industries have adopted to monitor quality. As a result, this project focuses heavily on the user experience of both the operator (quality inspector) and the manager, as both need to be able to interact with the proposed data system easily and reliably. The primary goal of this thesis is to detail the design and implementation of a data collection platform (built during internship) for use in low-tech garment factories that will: -- Enable the procurement of process data (specifically as it relates to quality) from operators in real-time. -- Allow factory management to easily view and analyze collected data. -- Employ an intuitive front-end user interface that allows operators to quickly and reliably collect data. Since a substantial portion of this internship was spent designing, building, and testing this data collection interface, the thesis will reflect the nuances associated with building and implementing factory data systems in low-tech factories where human interaction is the primary driver of system adoption. The design and deployment of this system was ultimately successful and resulted in a robust prototype that continues to provide Li & Fung with insights into how to achieve their ultimate goal of connecting their factory network to a centralized data platform.
by Brandon Douglas Jennings.
M.B.A.
S.M.
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HULTENIUS, JOHNNY, and GUSTAV MAGNUSSON. "Towards the Smart Factory A Roadmap Strategy for Heavy Automotive Assembly Plants." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237410.
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Industry 4.0 comes with the promise of great benefits and transforming towards a Smart Factory is on the agenda for many organizations. The issue is that there is a lack of knowledge about how to make a successful transformation. The purpose of this research is to develop a framework for how a final assembly plant within the heavy automotive industry should structure a plan in order to accelerate the shift towards a Smart Factory in the context of Industry 4.0. To fulfill the purpose of the research, a case study has been performed. A maturity model has been used to assess the current state of the company and perceived importance of Industry 4.0 capabilities. This has been combined with an importance assessment from experts in the area, as well as literature regarding the subjects of Industry 4.0, Smart Factory and challenges with the transition. Theoretical frameworks have then been used to analyze how to structure a plan for the transition, based on the empirical findings and previous research. The transition towards a Smart Factory should incorporate strategic, organization and technical dimensions. A multilayered roadmap should be utilized as it enables for visualizing simultaneous activities and interconnections between dimensions. As external factors are necessary to be included, triggers points should be visualized as it enables checkpoints to be used. The case company importance weightings and challenges found in literature should mainly guide in the prioritization of needed capabilities. The assessed maturity should guide in choosing the Industry 4.0 capabilities which could reap the most benefits. The use of a vision and current state should guide in how to create activities with the purpose to support the chosen Industry 4.0 capabilities. The value of this research is the combination of maturity assessment with roadmap strategy, enabling for concrete actions to be formulated. Thusly, of value to companies that want to accelerate their transition towards a Smart Factory. The contribution of this research is a foundation for the creation of a tailored roadmap framework towards a Smart Factory.Industri 4.0 kommer med många fördelar och att transformera mot en smart fabrik är på agendan för många organisationer. Problemet är att det är en brist på kunskap om hur man ska åstadkomma en lyckad transformation. Syftet med studien är att utveckla ett ramverk för hur en slutmonteringsfabrik inom lastbilsindustrin ska strukturera en plan för att accelerera skiftet mot en smart fabrik inom konceptet Industri 4.0. För att uppfylla syftet med studien så har en fallstudie genomförts varav en mognadsmodell har använts för att utvärdera mognadsgraden hos ett företag. Utöver det så har företaget viktat möjliggörare inom Industri 4.0 utifrån hur viktiga dessa anses att vara för en transformation mot en smart fabrik. Empiri har tillsammans med experters viktning och tidigare forskning inom området använts för att analysera hur ett företag ska strukturera en plan för att skifta mot en smart fabrik. En transformation mot en smart fabrik bör ta dimensionerna strategi, organisation och teknik i beaktande när en plan struktureras. Dessa dimensioner bör bilda tre lager i planen eftersom det tillåter aktiviteter att genomföras samtidigt och att det tillåter visualisering av sambanden mellan aktiviteter. Externa faktorer är nödvändiga att inkludera i planen och bör visualiseras genom triggerpunkter. Företagets viktning av möjliggörare inom Industri 4.0 tillsammans med hur väl dessa möjliggör anknyter till de vanligaste utmaningarna i ett skifte mot en smart fabrik bör huvudsakligen styra hur möjliggörarna skall prioriteras emellan varandra. Fortsättningsvis ska den utvärderade mognaden styra mot de möjliggörare som kan skörda de största fördelarna. För att skapa aktiviteter med syftet av öka mognaden av de utvalda möjliggörarna bör en vision ställas mot nuläget, för att vägleda vilka aktiviteter som är lämpliga. Värdet av den här studien är hur kombinationen av en mognadsmodell tillsammans med teoretiska ramverk möjliggör för företag att formulera en konkret plan för att accelerera skiftet mot en smart fabrik. Studien bidrar av den anledningen med en grund och ett ramverk för företag att skapa en skräddarsydd plan med syftet att accelerera skiftet mot en smart fabrik.
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Hušek, Jiří. "Koncepce Industry 4.0, její dosavadní uplatnění a stav na trhu." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-359062.
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This master thesis maps contemporary situation linked to the Industry 4.0 topic and sets it into connections and define its relations. The first part is dedicated to describing the beginning and nature of Industry 4.0. Next part shows main national initiatives of several countries. In the other part of thesis there is specific description of terms connected to this concept. Next part is about evaluating benefits, risks and restrictions. After that there is description of present use on market. The last part sums some predictions about Industry 4.0.
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Melander, Anton, and Adam Lewenhaupt. "Leveraging Industry 4.0 : Value Creation Through Improved Manufacturing Productivity." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264193.
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Industry 4.0 is a collective name for several technological innovations that, when combined, among other things, provide an exponential potential for increased operational excellence in manufacturing. This thesis digs down into which technologies that are relevant in the context of predictive maintenance and how these can be integrated into existing theory in order to create value through increased e↵ectiveness. The primary findings can be condensed down into one general principal - uniformity. In order to leverage industry 4.0, and through it achieve a higher level of automatization, all data flow must be as canonical as possible. This is what allows both for bi-directional communication at scale, and higher-level decisionmaking algorithms to be deployed over a wide range of hardware.Industri 4.0 är ett samlingsnamn för ett flertal tekniska innovationer vilka, tillsammans, möjliggör en potentiell förbättring av operational excellence som ökar exponentiellt mot antalet aopterade teknologier. Detta arbete dyker ned i vilka teknologier som skapar mest värde i kontexten predictive maintenance. Arbetet studerar även existerande orginatorisk teor och hur dessa kan slås samman. Det primära resultatet kan summeras som att fokus bör ligga på en canonical model för den data som genereras, och skickas ned till maskiner på fabriksgolvet. Uniform data spelar även en nyckelroll i att facilitera för beslutsfattande algoritmer då dessa annars enbat skulle gå att applicera på specifika maskiner.
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Vestin, Alexander. "Smart manufacturing for the wooden single-family house industry." Licentiate thesis, Tekniska Högskolan, Jönköping University, JTH, Industriell produktutveckling, produktion och design, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48249.
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To meet the demand of future building requirements, and to improve productivity and competitiveness, there is a need to modernize and revise the current practices in the wooden single-family house industry. In several other sectors, intensive work is being done to adapt to the anticipated fourth industrial revolution. The manufacturing industry has already begun its transformation with concepts such as smart manufacturing and Industry 4.0. So far, smart manufacturing has not been discussed to any significant extent for the wooden single-family house industry, even though it might be a way for this industry to improve productivity and competitiveness. The research presented in this thesis aims at increased knowledge about what smart manufacturing means for the wooden single-family house industry. This requires investigating what smart wooden house manufacturingis, what challenges that might be associated with it, and how smart wooden house manufacturing can be realized. At the core of this thesis is the conceptualization of smart wooden house manufacturing—when realized, it is expected to contribute to improve the competitiveness of the wooden single family house industry. The findings presented here are based on three Research Studies. Two studies were case studies within the wooden single-family house industry. The third study was a traditional literature review. The findings revealed two definitions and 26 components of smart wooden house manufacturing. At large, smart wooden house manufacturing emphasizes digital transformation with a focus on digital information flow, how to add information, information compilation, and information distribution between systems/programs and departments. Some of the challenges associated with smart wooden house manufacturing are, e.g. culture, competence and manual transfer of information between systems. The findings indicate similarities of smart wooden house manufacturing within certain components of industrialized house building and Industry 4.0, these components could enable the realization of smart wooden house manufacturing.För att möta efterfrågan på framtida byggkrav och för att förbättra produktiviteten och konkurrenskraften finns det ett behov av att modernisera och revidera nuvarande tillvägagångssätt inom träsmåhusindustrin. I flera andra sektorer arbetas det intensivt med att anpassa sig till den förväntade fjärde industriella revolutionen. Tillverkningsindustrin har redan påbörjat sin omvandling med koncept som smart manufacturing och Industry 4.0. Hittills har smart manufacturing inte diskuterats i någon större utsträckning för träsmåhusindustrin, även om det kan vara ett sätt för denna industri att förbättra produktiviteten och konkurrenskraften. Forskningen som presenteras i denna avhandling syftar till ökad kunskap om vad smart manufacturing innebär för träsmåhusindustrin. Detta kräver undersökning av vad smart trähustillverkning är, vilka utmaningar som kan vara förknippade med det och hur smart trähustillverkning kan realiseras. Kärnan i denna uppsats är begreppsframställningen av smart trähustillverkning—när det realiserats förväntas det bidra till att förbättra konkurrenskraften för träsmåhusindustrin. Resultaten som presenteras här är baserat på tre forskningsstudier. Två studier var fallstudier inom träsmåhusindustrin. Den tredje studien var en traditionell litteraturstudie. Resultaten avslöjade två definitioner och 26 komponenter av smart träshustillverkning. Sammanfattningsvis betonar smart trähustillverkning digital transformation med fokus på digitalt informationsflöde, hur man lägger till information, sammanställning av information och informationsfördelning mellan system / program och avdelningar. Några av utmaningarna associerade med smart trähustillverkning är t.ex. kultur, kompetens och manuell överföring av information mellan system. Resultaten indikerar likheter mellan smart träshustillverkning inom vissa komponenter av industriellt husbyggande och Industry 4.0, dessa komponenter skulle kunna möjliggöra realiseringen av smart trähustillverkning.
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Zanuccoli, Matteo. ""Human-Centered Design nell'Industry 4.0: Progettazione di un sistema di condition monitoring per Smart Factory"." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
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L’introduzione delle più recenti tecnologie dell'ICT nei processi industriali sta creando le basi per una nuova rivoluzione industriale denominata Industry 4.0. Grazie a queste tecnologie, persone, macchine e risorse possono comunicare e organizzarsi, generando un vero e proprio cambiamento di paradigma, da un controllo totalmente centralizzato a un insieme di processi produttivi decentralizzati. Questo cambiamento coinvolge anche l’uomo: i sistemi industriali di nuova generazione sono molto complessi e la loro interazione con l’uomo deve essere mediata da opportune interfacce utente. Il progetto di tesi si colloca in questo ambito: come cambia l'interazione uomo-macchina e uomo-computer con l'introduzione di queste nuove tecnologie in ambito industriale? Quale approccio occorre adottare per sviluppare sistemi che, nonostante la loro complessità, siano altamente usabili? Per rispondere a queste domande sono stati analizzati i principi fondanti dell’Industria 4.0, per poi verificare quali architetture, tecnologie e paradigmi supportino l’applicazione di questi principi ai Cyber-Physical System e alle Smart Factory. Successivamente sono state analizzate tecniche e metodologie appartenenti alle sfere dell'ergonomia e della Human-Computer Interaction, per individuare quali fossero le best practice per costruire una metodologia di Human-Centered Design applicabile al contesto industriale. Infine, tutti questi studi sono stati applicati a un progetto reale: Mentor©. Questo progetto, nato dalle menti degli ingegneri di Bucci Industries di Faenza e condotto in collaborazione con l'Università di Bologna, mira a realizzare un innovativo sistema di monitoraggio delle condizioni e della produttività dei macchinari industriali. Il lavoro di tesi, svolto interamente presso le sedi di Bucci Industries, ha previsto la revisione, la progettazione e l’implementazione di numerose interfacce di Mentor©, applicando i principi dello Human-Centered Design.
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Johansson, Lundström Malin, and Ingrid Porat. "Hur påverkas produktion i tillverkande företag vid införande av smart teknik? : En studie av de främst påverkade faktorerna undertidsperioden 2011 och framåt." Thesis, KTH, Industriell produktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192551.
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På Hannovermässan, världens ledande mässa inom industriell teknologi, i Tyskland år 2011 myntades begreppet Industrie 4.0 som beskriver den fjärde industriella revolutionen. Denna handlar om att integrera affärsprocesser med ingenjörsprocesser och på så sätt göra produktionen mer effektiv, miljövänlig och flexibel. Sedan 2011 har man även börjat tala om smarta fabriker och införande av smart teknik inom tillverkningsindustrin. Många hävdar att smart teknik och Industrie 4.0, tillsammans med vår tids krav på kundanpassade produkter, kommer att revolutionera den tillverkande industrin och förväntningarna är stora på vad smartteknik kan komma att bidra med. Denna studie syftar till att undersöka hur produktionen i tillverkande företag påverkas med hjälp av införande av smart teknik. Studien kommer att identifiera och analysera de främst påverkade faktorerna vid införande av smart teknik från år 2011 och framåt. De faktorer som identifierats och studeras närmare är; flexibilitet, kostnader, ledtider, miljöpåverkan, produktkvalitet och tillförlitlighet. I arbetet att hitta de faktorer som främst påverkar produktionen i tillverkande företag vid införande av smart teknik har främst två metoder använts. En inledande litteraturstudie gjordes för att identifiera de vanligast förekommande faktorerna. Valda faktorer verifierades därefter med hjälp av intervjuer och studiebesök hos två tillverkande företag som implementerat smart teknik, Scania CV AB och Volvo Car Corporation. Under vald tidsperiod har dessa företag tillsammans med KTH genomfört projektet FFI Line informationsystem architecture (LISA), där LISA är en variant av en smart fabrik. En slutsats som dragits i denna studie är att de faktorer som främst påverkas med hjälp av smart teknik inom tillverkningsindustrin är några av de som identifierades vid undersökningens start; flexibilitet, kostnader, miljöpåverkan och tillförlitlighet. Exempel på hur dessa påverkas presenteras vidare; om en informationsarkitektur (såsom LISA) implementeras blir det lättare att genomföra förändringar i maskinparken, det gör processkedjan mer dynamisk vilket ger en ökad flexibilitet för företagen. Med hjälp av uppkopplade enheter kan företagen snabbare informeras om fel i produktionen och på så sätt minska mängden kassationer vilket innebär kostnadsbesparingar. Genom att hastighetsanpassa motorer samt att optimera robotars rörelser, exempelvis genom att i större utsträckning använda mjuka rörelser, kan energi sparas och därmed ge en minskad miljöpåverkan. Dock blir företagen vid införande av smart teknik beroende av uppkoppling och det blir då viktigt att säkerställa att tillförlitliga system används om problem uppstår. Andra faktorer som påverkas är ledtider och produktkvalitet, som dock snarare påverkas som konsekvenser av att ovan nämnda faktorer påverkas. Ytterligare en slutsats är att Industrie 4.0 inom svensk tillverkningsindustri betraktas som en evolution snarare än en revolution och att den smarta tekniken är något som implementerats gradvis.The term Industrie 4.0 was first coined in Germany 2011, at the Hannover Messe, the world’s leading Trade Fair for Industrial Technology. It is a term describing the fourth Industrial Revolution. This revolution concerns making production more efficient, environmentally friendly and flexible, by integrating business processes with engineering processes. Since 2011, smart factories and implementation of smart technology in manufacturing has also been a major talking point. Many claim that smart technology and Industrie 4.0, together with the increasing demands for customization, will revolutionize the manufacturing industry and the expectations for what smart technology will contribute with are great. The purpose of the study is to investigate what factors of the production in manufacturing companies are affected by the introduction of smart technology, from year 2011 onwards. The factors identified and investigated are; flexibility, costs, lead times, environmental impact, product quality and reliability. The study was conducted in two stages. First, a literature study to identify and investigate the factors, and second, visits, interviews and verification of the factors with two manufacturing companies who have both implemented smart technology; Scania CV AB and Volvo Car Corporation. During the selected time period, these companies have, together with KTH, participated in the FFI Line information system architecture project (LISA) project where LISA is a type of smart factory; an information architecture. A conclusion to be drawn is that the factors mostly affected by smart technology within the manufacturing industry are some of those identified in this study; flexibility, costs, environmental impact and reliability. Examples of impact are; if an information architecture (for example LISA) is implemented, it becomes easier to implement changes in the factory. This makes the process chain more dynamic, which gives the company greater flexibility. With the help of connected units, companies are faster informed about errors in the production, which makes it possible to decrease the amount of scrap. This leads to cost savings. Also, by using speed-controlled engines and by optimizing the movements of robots, energy can be saved, which leads to less environmental impact and also cost savings. Though, by implementing smart technology, companies also make themselves dependent on wireless connectivity. Therefore, it becomes important to make sure reliable systems are used. Other factors affected by the implementation of smart technology are lead times and product quality, but they are rather affected as consequences of the affection of the other factors, mentioned above. Another conclusion to be drawn is that Industrie 4.0, within Swedish manufacturing, is considered to be an evolution rather than a revolution and smart technology is something that is implemented gradually.
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Medeiros, Afonso Manuel Costa. "Processo de adoção de tecnologias da indústria 4.0 numa empresa de manufatura : estudo de caso." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/21668.
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Mestrado em Gestão e Estratégia IndustrialA tecnologia tem um papel extremamente importante na nossa sociedade. Nesse sentido, as revoluções industriais, através da introdução de novas tecnologias, são extremamente impactantes para as economias. A Indústria 4.0, ou quarta revolução industrial promete inúmeros benefícios para todo o tipo de empresas, com principal enfoque no setor industrial. O seu estudo é por isso considerado de extrema relevância.O presente estudo procura, através de uma análise qualitativa, perceber como é feita a implementação de uma solução baseada em tecnologias da Indústria 4.0 numa empresa industrial inserida no setor da produção cerâmica. São abordadas as motivações e as respetivas necessidades da empresa, identificadas as vantagens encontradas resultantes da implementação, percebidas as dificuldades sentidas ao longo do projeto, tanto pelos elementos da Aleluia Cerâmicas, como pela Gestora de Projeto da Vodafone, e por fim, foram apresentados os resultados constatados pelos diretores da Aleluia. Os resultados deste estudo apontam, em larga medida, para a convergência de ideias entre os tópicos da literatura e a informação recolhida aos informantes-chave, principalmente no que a toca à quantidade de informação disponibilizada à gestão, aos aumentos da capacidade de resposta, dos níveis de eficiência e da qualidade.
Technology plays an extremely important role in our society. In this sense, industrial revolutions, through the introduction of new technologies, have an extreme impact in our economies. Industry 4.0, or the 4th industrial revolution, promises numerous benefits for all types of companies, with a primary focus on the industrial sector. For this reason, the study is considered extremely relevant.For this reason, it was decided to investigate, through a qualitative analysis, how a solution based in Industry 4.0 technologies is implemented and how does it impact the adopting company. The company’s motivations and respective needs are addressed, the advantages found resulting from the implementation are identified, the difficulties experienced throughout the project are perceived, both by the elements of Aleluia Cerâmicas and the project manager of Vodafone, and finally, the results perceived by the directors of the company were presented. The study analyses an industrial company in the ceramics sector.The results of this dissertation point, for the most part, to the convergence of ideas between topics in literature and the information collected from key-informants, especially with regard to the amount of information made available to management, increases in response capacity, efficiency and quality levels, and less interruptions in the production process.
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Sardogan, Huseyin Emre. "NEW Lighting : First step for a Sustainable, and Digital futurein an industrial production factory." Thesis, KTH, Ljusdesign, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280080.
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This thesis project was aimed at designing an energy efficient, intelligent and humancentriclighting solution for one of the steel manufacturing units of Sardogan Industryand Trade. The proposed lighting design will be used in order to reinforce a sustainable,digital and productive work environment in this family-owned business. To set thetechnical fundamentals for the new lighting proposal, the effects of industrial lighting onproductivity, well being and energy efficiency were researched. For future comparison, aversatile site analysis was performed to assess the existing working and lightingconditions of the space. This research was supported by an investigation of smartlighting fixtures and informal interviews with managers and workers from differentworkgroups. After reviewing the data gathered through research and analysis sections,an Industrial Internet of Things(IIoT) electric lighting system, 16 new skylights openings,and an experimental lighting control strategy was proposed. In addition to the increasein overall quality of lighting, advancements in the fields of energy sustainability anddigitalization could be observed. Also with the integration of a new lighting solution, adecrease in absenteeism and accidents was expected as well as an increase inproductivity and morale.
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GYLLENSWÄRD, MIKAEL, and FRANCESCA SALA. "Vilka problem ställs små och medelstora tillverkande företag inför vid införandet av smart teknik? Hur kan dessa problem i största möjliga mån undvikas? : En studie om hur Industri 4.0 på verkar tillverkningsindustrins mindre företag." Thesis, KTH, Industriell produktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233184.
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Industri 4.0, den fjärde industriella revolutionen, kommer att förändra industriell tillverkning. Ofta diskuteras fördelar och stora företag som är en drivande kraft i industrin; men i denna rapport undersöks utmaningarna som små och medelstora företag ställs mot vid införandet av smart teknik. Dessa företag representerar över 90% av svensk industri och är extremt viktiga för ekonomin vilket är anledningen till varför dessa valdes att undersöka. Rapporten består av ett teoriavsnitt och en empirisk studie. Teorin har tillhandahållits från ett flertal tekniska publikationer och sammanfattningar av tekniska konvent. Empirin är baserad på två intervjuer genomförts och en artikel. En intervju med en civilingenjör och chef vid ett mindre tillverkande företag som producerar belysning. Den andra med en expert inom området för införandet av smart teknik inom SMF, engagerad i olika projekt för detta ändamål och arbetserfarenhet inom ABB Robotics. Artikeln är en stor empirisk studie med flertal chefer inom tillverkningsindustrin. Resultatet är att för Industri 4.0 krävs det att resurser i form av kompetens, ekonomi och maskiner finns. Att produktionsprocessen är standardiserad, det ska finnas tjänster som hjälper företag att införa och utveckla smart teknik och att det finns en hög IT-säkerhet. I dagsläget är det en extrem brist på kunskap och kompetens hos SMF gällande smart teknik och industri 4.0. Intresset för det är vagt om ens existerande. Produktionsprocesserna är intestandardiserade. Slutsatsen är att utmaningarna är bristen på kompetens, processerna inte är standardiserade, och att det är svårt att kunna integrera den teknik som finns med de maskiner som finns. Dessa problem är svåra att undvika men lätta att ta sig förbi. Hjälp med kompetens finns ochautomatiserade robotar för en produktionsprocess som inte är standardiserade är på marknaden. Det viktigaste är att företagen i största möjliga mån har en vilja att utvecklas.Industry 4.0, the fourth industrial revolution, will change industrial production as we know it. Too often are the pros along with big companies who are a driving force of this revolution discussed; however, in this report the challenges small and medium sized enterprises face when implementing smart technology will be scrutinized. These companies represent over 90% of the Swedish industry and are extremely important for the economy, which is why this was chosen to be examined. The report is based on one theory chapter and one empirical study. The theory has been obtained from several technical publishes and summaries of technical conventions. The empirical study is based on two interviews and one article. One interview with a boss in a smaller industrial company, that focuses on lightning, who has a Master’s of Science in Engineering. The other interview was conducted with an expert in the area for implementing smart technology in SME, engaged in different projects for this purpose and work experience within ABB Robotics. The article is a large empirical study with multiple managers within manufacturing companies. The result is that for Industry 4.0 it is necessary that resources in the shape of competence, economy and machinery exists. That the manufacturing process in standardised, there must be services that helps companies to implement and develop smart technology, and that there is high IT-security in place. Today there is an extreme lack in knowledge and competence at SME concerning smart technology and Industry 4.0. The interest in the subject is weak if even existing. The manufacturing processes are not standardised. The conclusion is that the challenges are the lack of competence, the processes are not standardised, and that it's hard to integrate he technology with the existing machines. These problems are hard to avoid but easy to overcome. Assistance with competence are available and automated robots are on the market. The most important aspect is that the companies have, in the greatest extent possible, a will to evolve.
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Karimi, Majid. "Master ’s Programme in Information Technology: Using multiple Leap Motion sensors in Assembly workplace in Smart Factory." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-32392.
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The new industry revolution creates a vast transformation in the manufacturing methods. Embedded Intelligence and communication technologies facilitate the execution of the smart factory. It can provide lots of features for strong customization of products. Assembly system is a critical segment of the smart factory. However, the complexity of production planning and the variety of products being manufactured, persuade the factories to use different methods to guide the workers for unfamiliar tasks in the assembly section. Motion tracking is the process of capturing the movement of human body or objects which has been used in different industrial systems. It can be integrated to a wide range of applications such as interacting with computers, games and entertainment, industry, etc. Motion tracking can be integrated to assembly systems and it has the potential to create an improvement in this industry as well. But the integration of motion tracking in industrial processes is still not widespread. This thesis work provides a fully automatic tracking solution for future systems in manufacturing industry and other fields. In general a configurable, flexible, and scalable motion tracking system is created in this thesis work to amend the tracking process. According to our environment, we have done a research between different motion tracking methods and technologies including Kinect and Leap Motion sensor, and finally the leap motion sensor is selected as the most appropriate method, because it fulfils our demands in this project. Multiple Leap motion sensors are used in this work to cover areas with different size. Data fusion between multiple leap motion sensors can be considered as another novel contribution of this thesis work. To achieve this goal data from multiple sensors are combined. This system can improve the lack of accuracy in order to creating a practical industrial application. By fusion of several sensors in order to achieve accuracies that allow implementation in practice, a motion tracking system with higher accuracy is created.
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Eriksson, Josefin, and Anna Eldered. "Information Usage in Smart Material Flows : An Evaluation of the Prerequisites of how to Become Smart in the Material Flow from a User Perspective within Assembly at an Industrial Manufacturing Company." Thesis, Linköpings universitet, Produktionsekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139118.
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IT is a well-integrated function within most companies and its importance grows bigger by the day. With new solutions and concepts being introduced continuously it is important to be aware of the ever-changing possibilities found within IT. One of these changes is the concept of Industrie 4.0 which poses as a revolutionary way to do business by connecting the real world with the virtual one to a greater extent than what is done today. Research has shown that there are many possible benefits of implementing Industrie 4.0 and also Smart Factory, such as improved inventory control and faster reaction time. Since these concepts are quite new, no real definition exists and the congruence between the academic and business world is not always at the same level, and therefore the first steps are not yet defined. Therefore, this study tried to reduce the gap between these two worlds by offering concrete recommendations of what needs to be done to be able to apply Industrie 4.0 in the real world at Scania CV AB and Scania IT. Scania CV AB posed as a case company to find out where to start on the road to become smart. Currently there are many functions using the services of Scania IT, but exactly how the systems are used is not known by Scania IT. To be able to provide the necessary services for the various functions of Scania CV AB and start the road of becoming smart, Scania IT needs to know how the systems are used and what information that is currently missing. A formulated strategy of Scania, as a whole, is to be able to collect and analyse information in order to have a more Intuitive Presence and Predictable Future, two words meaning that more proactive work can be conducted and more autonomous decisions can be made. To be able to fulfil this vision, knowledge about the needed information must be acquired by Scania IT. With focus on the information connected to the material flow before the material reaches the assembly lines found at Scania CV AB the purpose of this study was to identify and analyse information and actions needed in the material flow from a user perspective, to become Intuitive and Predictable as part of the concept Industrie 4.0. A set of research objectives were formulated as a guide for the study. By first identifying, with the help of the first research objective, the information input and output for the functions at Scania CV AB connected to the material flow, with a base in the functions planning material, it was identified that at different production sites different standards of working exist, but also differences in the IT usage and system configurations was found. The second research objective focused on what information should be available for production and material planning according to a literature review and this was later compared with the findings at Scania, which composed the third research objective. As it turned out, Scania uses the correct set of basic information such as forecasting, production plan, and calculations of gross demand, along with information regarding costs, lead times, and inventory. However, how to use the information is not standardized and the users of the IT systems perceived the information as hard to find and difficult to interpret. The fourth research objective focused on the concept of Industrie 4.0 and Smart Factories by studying literature, an external company and the ideas that Scania CV AB have, to see what must be done before a Digital Factory can be created. The recommendations for Scania IT were based on the result on the analyses and they can be summarized by the need of further standardization of information and information usage to be able to start the road of becoming Smart and take one step closer to the concepts of Smart Factory and Industrie 4.0.
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Zetterman, Joachim. "Prediktiv simulation : En undersökning om möjligheten att minskaslöseri vid ett industriföretag med hjälp av digitala simuleringar." Thesis, KTH, Hälsoinformatik och logistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-251607.
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The industrial company Scania CV AB is a world leader in the manufacturing of commercial vehicles. They offer a modular systems that include heavy trucks and buses that can be configured to a range of different needs. However, this adaptability leads to a problem where each order can have a large variance of assemblers that are re-quired during the manufacturing process. In other words, variant assemblers have a workflow that can shift from high workload to low workload and vice versa in a short period of time. To solve this problem a prototype will be developed. This prototype will be used to check if it’s possible to optimize the work schedule for variant assem-blers with the help of predictive simulations. The result of the study became an implementation in form of a prototype. This prototype is built up in two layers; a data layer and a simulation layer. The data layer provides the simulation layer with two different datasets. The first dataset is based on historical data and is derived from Scania’s production in Zwolle. The second dataset is based on synthetic data which is formed with a high utilization rate in order to mimic a better production situation with less product variants to assemble. The simulation layer consists of a DES-model that is modelled after a station in the final assembly of Zwolle. After a simulation has been executed, this layer generates a simulation result in form of a graph that presents the utilization rate for a group of variant assemblers. This will happened for each dataset in the data layer, in this case two times. The simulation result that got produced shows that it’s possible to create a simulation with predictive characteristics. A long term solution for Scania’s problem statement requires more research within the possibility of combining different technologies such as DES with predictive methods such as ML and GAs.Industriföretaget Scania CV AB är världsledande inom tillverkning av kommersiella fordon. De tillhandahåller ett modulärt system som inkluderar tunga lastbilar och bussar som kan konfigureras till en rad olika behov. Den här anpassningsförmågan leder dock till ett problem där varje order som tillverkas kan ha en stor varians av hur många montörer som krävs under produktion. I andra ord så har variantmontö-rer ett arbetsflöde som kan skifta från hög arbetsbelastning till låg arbetsbelastning och vice versa under en kort period. För att lösa dessa typer av problem så ska en prototyp med prediktiva egenskaper så som Diskrete Event Simulering (DES). Denna prototyp ska undersöka om det är möjlighet att optimera arbetsscheman för variantmontörer med hjälpa av prediktiva simuleringar. Resultatet av studien blev en implementation i form av en prototyp. Denna prototyp är uppbyggd i två lager; ett datalager samt ett simuleringslager. Datalagret tillhandahåller simuleringslagret med två dataset. Det första datasetet är baserad på historisk data och är härledd från Scania’s produktion i Zwolle. Det andra datasetet är baserat på syntetisk data som är framtagen med en högre utnyttjandegrad för att efterlikna ett bättre produktionssitation med färre produkt varianter att montera. Simuleringslagret består av en DES-model som är modulerad efter en station i slutmontering i Zwolle. Efter att en simulering har exekverats så genererar detta lager ett simuleringsresultat i form av en graf som presenterar utnyttjandegraden för en grupp med variant montörer. Detta sker för varje dataset i datalagret, i detta fall två gånger. Simuleringsresultatet som togs fram visar att det är möjligt att ha skapa simuleringar med prediktiva egenskaper. En långsiktig lösning för Scania’s problem-beskrivningen kräver mer forskning inom möjligheten att kombinera tekniker som DES med prediktiva metoder som ML och GAs.
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Roy, Daniel Thomas [Verfasser], Frank [Gutachter] Straube, and Roland [Gutachter] Jochem. "Industrie 4.0 – Gestaltung cyber-physischer Logistiksysteme zur Unterstützung des Logistikmanagements in der Smart Factory / Daniel Thomas Roy ; Gutachter: Frank Straube, Roland Jochem." Berlin : Universitätsverlag der TU Berlin, 2017. http://d-nb.info/1156269849/34.
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Ceccato, Davide. "applicazione dei principi di lean production e industria 4.0 in una linea di montaggio a takt time: il caso robopac smart factory." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
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L’elaborato descrive le modifiche di una linea di assemblaggio presso l’azienda Robopac S.p.A. dovute alla riduzione della cadenza di produzione o takt time (da un tempo di 10 minuti ad uno di 9 minuti), analizzando le attività produttive svolte, le aree interessate da tale cambiamento e gli strumenti tecnologici impiegati. A partire dagli obiettivi aziendali e dalle caratteristiche dei prodotti realizzati e del mercato, sono stati sviluppati e implementati progetti, organizzati secondo l’impostazione di un workshop e suddivisi in determinate aree. Il cambio del takt time ha generato differenze rispetto all’impostazione precedente: modifica dei cicli di produzione e assemblaggio (bilanciamento dei carichi di lavoro); revisione del layout di linea; cambiamento delle postazioni di lavoro (a livello di attrezzature e di impostazione); dimensionamento della squadra di operatori (a takt e mura); definizione dei vincoli di funzionamento della linea; ottimizzazione dello strumento di schedulazione (Preactor) utilizzato dall’azienda. Per la realizzazione del progetto sono state impiegate apposite metodologie di analisi e implementate tecniche che fanno parte della lean production e dell’industria 4.0. Sono stati utilizzati e aggiornati gli strumenti tecnologici in uso a Robopac: Manufacturing Execution System (MES) per la gestione dell’officina; Preactor, impiegato per la programmazione della produzione; Analytics per il monitoraggio della linea in tempo reale e controllo dei KPI; Warehouse Management System (WMS) per la gestione della logistica interna e inventario. Il workshop ha permesso di raggiungere gli obiettivi definiti e ottimizzare ulteriormente la linea di assemblaggio, con aumento delle prestazioni, della flessibilità e dell’efficienza generale.
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Nilsson, Amanda, and Hanna Lindqvist. "Framtidens produktionspersonal i den Smarta fabriken." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12025.
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The project has explored the topic Smart factory with main focus on the future production staff. The project aims to investigate how the production staff is affected by Volvo Cars Skövde Engine Plant (SkEP) becoming a Smart factory, in the era of Industry 4.0. The definition of the Smart factory is a demand of Mobile- and wireless technologies, Human-oriented, pursue a Flexible production with Sustainable manufacturing, as well as utilization of CPS (Cyber-Physical Systems), IoT (Internet-of-Things) and Cloud storage. The current situation and the future five to twenty years were examined in order to define the future production staff. This by conducting an observational study and several interviews. The studies’ results were that SkEP cannot be regarded as smart since several demands are inadequate by definition. Five years are considered too short of a time for the plant to fulfill the demands. However, according to the interviews and literature, SkEP are expected to become smart in twenty years after time refinement of existing technologies and implementation of new ones. The authors estimate Leadership, Information, IT and Production lay-out to be the areas that require the most effort. The future production staff are expected to be flexible with workplace, working hours and able to manage multiple variants. They should be included in self-supporting teams where every individual possesses an expertise, are motivated and participating. Production staff should perform complex, varied jobs with more responsibility by endorsement of decision support systems. The staffs’ competence should consist of technical education, high basic and lay-out knowledge and the ability to contribute to the collection of information and analyses. Interaction with technology is expected to expand and the personnel must therefore have a well-established comprehension of technology. The concept Smart factory is extensive and relatively new, which means that it is constantly evolving. Thus it is important for SkEP to be updated and adjust to the impact from the outside world.
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Vedin, Erika. "Operatörens resa mot en uppkopplad industri : Om att förbättra medarbetares upplevelse av ny modern teknik på arbetsplatsen." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166372.
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Internet, automation, digitalisering och liknande tillverkningsteknologier som associeras med Industri 4.0, eller den fjärde industriella revolutionen, håller på att förändra sättet som tillverkningsindustrier styr hela sin produktionskedja. De nya teknikerna som inkapslas av Industri 4.0-paradigmet har genererat nya smarta sätt för att effektivisera produktionen och samtidigt spara in på resurser. Men denna revolution har genererat utmaningar, liksom förmåner, inte minst för de individer som jobbar inom den industriella sektorn. I denna studie undersöks hur operatörer inom tillverkningsindustrin upplever och anpassar sig till denna typ av nya teknologi på sina arbetsplatser. Vad för typ av utmaningar och möjligheter har upplevts av de människor som står i direkt kontakt med dessa nya typer av innovationer. För att besvara denna fråga, genomfördes intervjuer med operatörer på två fabriker inom tillverkningsindustrin där ny teknologi införts och påverkat produktionskedjan. Totalt åtta operatörer, varav fem från Fabrik A och tre från Fabrik B, intervjuades genom semi-strukturerade intervjuer. Detta i syfte att generera insikt i upplevelsen av automation, internettjänster och övriga digitala hjälpmedel i arbetsuppgifter som tidigare utförts utan det. Genom metoden för grundad teori kodades och tolkades den insamlade intervjudatan och kategorier kunde bildas. Resultaten visade att det fanns ett stort behov av tydligt kommunicerad information gällande ny teknik och nya arbetssätt. Resultaten indikerar att det finns mycket utvecklingspotential när det kommer till hur operatörer underrättas om nya innovationer i deras arbete. Vidare drogs slutsatsen att det krävs en gemensam förståelse för nya systemuppdateringar och förändringar, för att dessa ska mottas och hanteras på ett bra sätt. Ur analysen framställdes en modell över de utmaningar och möjligheter som industriföretag står inför vid implementation av smarta system i sin produktion, ur de anställdas perspektiv.
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Nargund, Vijay, and Syed Z. Ahmed. "3D Layout Scanning for Smart Manufacturing : Method Development and a Study of Future Possibilities." Thesis, Linköpings universitet, Industriell Produktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156276.
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The term ‘Industry 4.0’ leads to many new possibilities like smart factory which is the amalgamation of manufacturing systems in a network to perform tasks more efficiently. It is becoming more and more important for the companies to develop smart factories and integrate the devices within such a facility to meet the demands of the evolving market. The next generation production systems are designed to share the data within the network, plan, and predict the solution for the future problems. One such technology under smart factory is 3D laser scanning resulting in point cloud of the production unit. The traditional way of documenting a layout is usually with the help of 2D computer aided designs which are susceptible to measurement errors and changes that are not updated regularly. With the help of point clouds, an as-is representation of the factories can be recorded which can be easily updated with changes in the real world. With advancements in virtual manufacturing, the need for visualization of the factories is increasing drastically. 3D Laser Scanning is one of the better ways of meeting this need, among many other applications. The focus of the thesis had been to create a method document for 3D laser scanning of factories and to discuss the future possibilities of it. The research approach used in this thesis was conducting observational study, interviews and testing of the method. One such future possibility is autonomous scanning and how it would be beneficial for a company like Scania which is developing smart factories. Based on the study carried out during the thesis, a document presenting the method developed is included in the report. The report also points out the applications and benefits of point cloud over traditional layout planning methods.
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Eyring, Andrew Stuart. "Analysis of Closed-Loop Digital Twin." BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/9242.
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Given recent advancements in technology and recognizing the evolution of smart manufacturing, the implementation of digital twins for factories and processes is becoming more common and more useful. Additionally, expansion in connectivity, growth in data storage, and the implementation of the Industrial Internet of Things (IIoT) allow for greater opportunities not only with digital twins but closed loop analytics. Discrete Event Simulation (DES) has been used to create digital twins and in some instances fitted with live connections to closely monitor factory operations. However, the benefits of a connected digital twin are not easily quantified. Therefore, a test bed demonstration factory was used, which implements smart technologies, to evaluate the effectiveness of a closed-loop digital twin in identifying and reacting to trends in production. This involves a digital twin of a factory process using DES. Although traditional DES is typically modeled using historical data, a DES system was developed which made use of live data with embedded machine learning to improve predictions. This model had live data updated directly to the DES model without user interaction, creating an adaptive and dynamic model. It was found that this DES with machine learning capabilities typically provided more accurate predictions of future performance and unforeseen near future problems when compared to the predictions of a traditional DES using only historic data
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Kohoutek, Tomáš. "Experimentální aplikace robotické paže využívající průmyslové komunikační protokoly." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413080.
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This diploma thesis is focused on the analysis of the most well-known industrial protocols and acquaintance with the Dobot Magician robotic arm. The main goal of this thesis is to create an industrial loop, which consists of communication – client and server. The individual components of the industrial loop consist of three robotic arms (including peripherals), their control units (in our case Raspberry PI 3B +), switch, and a server. The control units communicate with the server using two selected industrial protocols, namely Modbus TCP and EtherNET/IP. The result of the work is an endless loop, which tries to resemble the real operation of the assembly and disassembly of the box equipped with dierent items.
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Liebert, Andreas. "Industry 4.0 – the intended impact of Cyber Physical Systems in a Smart Factory on the daily business processes : A Study on BMW (UK) Manufacturing Limited." Thesis, Linnéuniversitetet, Institutionen för organisation och entreprenörskap (OE), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-54407.
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Purpose: The purpose of this paper is to identify the opportunities that Industry 4.0 brings within the framework of applying Cyber Physical Systems in an environment of a Smart Factory. This paper shall identify the changes within daily business processes and the impact of these changes on the daily business life. Design/Methodology/Approach: The research is carried out as a case study research. Due to a qualitative approach for this case study interviews are conducted and the results are analyzed and discussed. Findings: Industry 4.0 will change the way we are working today and influence businesses and business processes in many ways. Data handling, processes and efficiency will change and the way we perceive manufacturing will change in a long term view. Further Research: It would be recommended to expand this research by conducting more research in this particular field as well as impacts on the employee should be studied more in detail.
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Riedel, Ralph, Franziska Schmalfuss, Michael Bojko, and Sebastian Mach. "Flexible Automatisierung in Abhängigkeit von Mitarbeiterkompetenzen und –beanspruchung." Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-231812.
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Industrie 4.0 und aktuelle Entwicklungen in dem Bereich der produzierenden Unternehmen erfordern hohe Anpassungsleistungen von Menschen und von Maschinen gleichermaßen. In Smart Factories werden Produktionsmitarbeiter zu Wissensarbeitern. Dazu bedarf es neben neuen, intelligenten, technischen Lösungen auch neuer Ansätze für Arbeitsorganisation, Trainings- und Qualifizierungskonzepte, die mit adaptierbaren technischen Systemen flexibel zusammenarbeiten. Das durch die EU geförderte Projekt Factory2Fit entwickelt Lösungen für die Mensch-Technik-Interaktion in automatisierten Produktionssystemen, welche eine hohe Anpassungsfähigkeit an die Fähigkeiten, Kompetenzen und Präferenzen der individuellen Mitarbeiter bieten und damit gleichzeitig den Herausforderungen einer höchst kundenindividuellen Produktion gewachsen sind. Im vorliegenden Beitrag werden die grundlegenden Ziele und Ideen des Projektes vorgestellt sowie die Ansätze des Quantified-self im Arbeitskontext, die adaptive Automatisierung inklusive der verschiedenen Level der Automation sowie die spezifische Anwendung des partizipatorischen Designs näher beleuchtet. In den nächsten Arbeitsschritten innerhalb des Projektes gilt es nun, diese Konzepte um- und einzusetzen sowie zu validieren. Die interdisziplinäre Arbeitsweise sowie der enge Kontakt zwischen Wissenschafts-, Entwicklungs- und Anwendungspartnern sollten dazu beitragen, den Herausforderungen bei der Realisierung erfolgreich zu begegnen und zukunftsträchtige Smart Factory-Lösungen zu implementieren.
Das Projekt Factory2Fit wird im Rahmen von Horizon 2020, dem EU Rahmenprogramm für Forschung und Innovation (H2020/2014-2020), mit dem Förderkennzeichen 723277 gefördert.
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Laghi, Riccardo. "Cloud Computing: La via verso l'Industry 4.0." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14457/.
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Al giorno d’oggi i sistemi di Information Technology si stanno evolvendo sempre più velocemente, influenzando positivamente quella che viene defi- nita Industry 4.0, ovvero la quarta rivoluzione industriale.
Il Cloud Computing sta svolgendo un ruolo fondamentale in questo cambiamento grazie alle potenzialità che offre in termini di flessibilità di servizio, costo e scalabilità, ma i problemi sulla Sicurezza nelle comunicazioni non sono da trascurare perché, specialmente nelle grandi organizzazioni, è necessario un adeguato livello di controllo sull’integrità e confidenzialità dei dati.
Grazie agli studi del Boston Consulting Group si è potuto stabilire quanto il Cloud Computing stia contribuendo alla crescita delle cosiddette Smart Factory, cioè industrie che sfruttano oltre alle nuove tecnologie produttive, anche le infrastrutture informatiche per l’integrazione dei sistemi di comunicazione e decentralizzazione.
Si vuole quindi discutere e valutare quanto possa essere significativo l’impatto di queste tecnologie e quanto in futuro le aziende e le organizzazioni ruoteranno intorno ad esse.
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Noora, Jay Maryam. "Defining infrastructure requirements for the creation of Digital Twins." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-51051.
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Along with the evolution of the new technologies such as industrial internet of things (IIoT), big data, cloud computing, artificial intelligence (AI), etc., the amalgamation between the cyber and physical worlds in the industrial field has become necessary to realize and achieve the smart factory and increase its productivity. The emergence of the Digital Twin (DT) concept as a technology that ties the physical and digital worlds has gained significant attention around the world during the last years. However, this concept is relatively new; the literature related to this concept is limited, and its application is still under development and requires further participation from both the industry and academia. This thesis project presented the main requirements and the steps for building a DT. Three research questions have been formulated and answered separately to fulfill the objective of this research study. The answer to the first two research questions was mainly based on surveying the scientific literature to explore this concept's background, main infrastructure, related technologies, its applications in the manufacturing domain, open issues, and some opportunities and challenges that hinder its implementation. Further, the answer to the last research question is represented in proposing a general methodology with some detailed steps for DT's building process and validating this methodology with an existing case study to show it works in practice. Further, several aspects needed for future work have also been addressed.
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Kopp, Jakub. "Analýza trendů v podnicích s důrazem na Průmysl 4.0." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-358797.
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The diploma thesis called Analysis of trends in companies with emphasis of Industry 4.0 meets with sphere of trend of Industry 4.0. This work provides the basic theoretical know-ledge about conpcet of Industry 4.0. The theoretical part of this work also includes techno-logical and social aspects of fourth industry revolution. In the practical part of the work is performed analysis of readiness czech companies for trend of Industry 4.0. On the base of results of analysis concluding recommendations are determined.
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Nilsson, David, and Ted Olandersson. "Designing Traceability - The Effects On Production Personnel : A Case Study of a Swedish Steel Manufacturer." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-44383.
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This study sets out to investigate the connection between digitally achieved traceability and the production personnel's view of traceability. The results presents a number of factors to consider when designing traceability solutions in a manufacturing setting. The study was conducted in a qualitative manner, with the main data collection done through interviews. The results show that the production worker's stand point towards traceability is based on three factors: performance measurement, surveillance, and increased workload. Each of these factors should be taken in to consideration when designing traceability solutions. These factors, and suggestions for how to work with them, is put into the context of a steel manufacturer that is in the process of implementing traceability in their production process.
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Naqvi, Adel, and Naghadeh Diana Halladgi. "Hur kan implementeringen av Industri 4.0,i synnerhet Internet of Things,i fordonsindustrin bidra till en minskad energiförbrukning under tillverkningen? : En studie med fokus på hur Internet of Things kan resurseffektivisera fordonsindustrin genom en realtidsanalys av en produkts användning och under tillverkning." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279706.
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Den moderna industrin har under senare år präglats av nya utvecklingar i teknikens värld, samt ett alltmer ökande behov av att effektivisera existerande processer och vara i framkant med innovationen av nya. Industri 4.0 är kulmen av detta samhällsbehov, en syn på industrin som till huvudsak drivs av cyberfysiska system, en integration av det fysiska med det virtuella i form av trådlösa uppkopplingar och molnteknologier. Internet of Things, även känd som IoT, är uppkopplingen av fysiska produkter till molnet som möjliggör datautvinning och övervakning under och efter produktionen i realtid. IoT förekommer i skiftande sammanhang och har tillämpats i varierande utsträckning inom olika branscher där det visat sig vara effektivt när det gäller inverkan på resursutnyttjandet. Inom handelsbranschen resulterade en IoT tillämpning på försörjningskedjan till en ökad kundkontakt och en förbättrad samarbetsrelation. Detta som en följd av reell-tids analyser av både behov, brister i försörjningskedjan och efterfrågan. Den har även en plats i moderna matbutiker som Electronic Shelf Labels (ESL). Detta tas reda på med hjälp av sökningar i journaler, konferensrapporter och ett teori baserad studium av tidigare tillämpningar. Målet med studien är att se hur tidigare anmärkningar förhåller sig till fordonsbranschen. Fordonsbranschen är i framkant vad gäller tillämpningar av industri 4.0 och IoT. Tillverkaren Scania är i begynnelsefasen av en eventuell storskalig övergång, och redan har tillämpningen fört med sig förbättringar. Dock återstår det mycket som måste uppklaras, bland annat sekretess angelägenheter och en omfattande kompetens kring ämnet.In recent years, the modern industry has been characterized by new developments in the technological world. There is an ever-increasing need to streamline existing processes and a need to be at the forefront for the innovation of new ones. Industry 4.0 is the culmination of this need, a form of industry that is mainly driven by cyberphysical systems, an integration of the physical with the virtual in the form of wireless connections and cloud technologies. The Internet of Things, also known as IoT, is the connection of physical products to the cloud that enables data recovery and monitoring during and after production, in real-time. IoT exists in various contexts and has been applied to varying degrees in different industries, and has proven to be effective in terms of impacting resource efficiency. In the trading industry, an IoT application to the supply chain resulted in increased customer contact and an improved cooperative relationship. This is a result of real-time analysis of both needs, supply chain shortages and demand. It also has a place in modern grocery stores such as Electronic Shelf Labels (ESL). The information was sought after in online journals, conference reports and past applications. The goal of the study is to establish a relation between these past applications and the automotive industry, to find out how they compare. The automotive industry is at the forefront in terms of applications of Industry 4.0 and IoT. The manufacturer Scania is in the beginning phase of a possible large-scale transition, and the application has already brought improvements. However, much remains to be resolved, including confidentiality issues and extensive expertise on the subject.
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LUNDQVIST, SIMON, and OLIVER MAZOYER. "Industri 4.0 - Hållbar produktion med ekonomisk tillväxt och förbättrade arbetsförhållanden : En fallstudie kring hållbara aspekter för nästkommande produktionsstrategier." Thesis, KTH, Industriell produktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233210.
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Med tiden och utvecklingen av ny teknik skapas förutsättningar för nya industriella revolutioner vilka historiskt har förändrat produktionsindustrin radikalt. Industri 4.0 är vägen till nästa paradigmskifte och ska med implementering av smart teknik möjliggöra en mer flexibel och effektiv produktion. Samtidigt har frågan ställts om den kommande revolutionen kommer att vara en hållbar lösning ur ett ekonomiskt, ekologiskt och socialt perspektiv. I den här studien har en empirisk studie på de två svenska företagen Scania AB och Atlas Copco utförts för att ta reda på om Industri 4.0 kommer innebära en ekonomisk tillväxt samt om arbetsförhållanden kommer att förändras. Arbetet inleddes med en litteraturstudie i form av en teoristudie på hållbar produktion, smart tillverkning och Industri 4.0. Med erhållen information kunde en förstudie med specifika sökningar utföras på vetenskapliga artiklar om Industri 4.0 och dess påverkan ekonomiskt och socialt, parallellt som frågor dokumenterades för att förbereda en intervjustudie på de ovannämnda företagen. Slutligen kunde all insamlad fakta och data analyseras för att angripa arbetets frågeställning och underfrågor. Utifrån den sociala aspekten visade studien på att en möjlig drivkraft till varför ett svenskt företag idag behöver nå Industri 4.0 är att intresset för traditionellt montörsarbete har minskat från arbetstagarna och med smart teknik kan automatiseringen minska beroendet av människan. Vidare kommer arbetsuppgifter på verkstadsgolvet förändras till att handla om interaktion med automatiserad teknik. Människan spelar fortfarande en stor roll vilket medför att behovet av arbetskraft kommer kvarstå men med fokus på nya kompetenser hos den anställde. Kunskaper kring IT-teknik prioriteras med den kommande systemkomplexiteten vilken smart tillverkning medför och med det behöver industriella produktionsföretag locka ny kompetent personal parallellt med utbildning av existerande. Ny personal kommer lära sig arbetsuppgifter enkelt via hjälpande verktyg samt digitala realtidsinstruktioner och på så sätt förenklas vägarna till att införskaffa och upprätthålla kompetent personal. Det historiskt påverkande problemet inom produktionsarbete med utarbetad och skadad personal kan med de nya produktionsverktygen minimeras tack vare ergonomiska och assisterande verktygslösningar samt digitaliserade utbildningar i en verklig arbetsorienterad miljö. Det ekonomiska perspektivet visade i studien att det finns nya värdeskapande processer och därmed nya affärsmodeller som alla försöker leverera skräddarsydda lösningar till kunderna. En utav dessa är den resultatbaserade affärsmodellen som går ut på att tillfredsställa behov innan de ens uppstår. Den bygger mycket på att smarta sensorer placeras i produkter för att kunna samla in en stor mängd data som sedan ska kunna analyseras för att till exempel se om delar behöver bytas ut. Ytterligare en ekonomisk konsekvens som förväntas av Industri 4.0 är att företag kommer vilja inkorporera smart teknologi i produktionen där alla maskiner är uppkopplade och utbyter data och information. Anledningen är att på samma sätt som den resultatbaserade ekonomin, så ska data tala om hur maskiner och människor presterar och mjukvaran kan därmed föreslå förbättringar som ska i längden leda till ökad produktivitet, kvalité och effektivitet.With time and development of new technology, premises for a new industrial revolution which historically have radically changed the production-industry have emerged. Industry 4.0 is the road to the next paradigm shift, and with implementation of new smart technology, will enable a more flexible and effective production. At the same time, questions have been asked if the coming revolution would mean a sustainable solution from an economical, ecologic and social perspective. In this paper, an empirical study has been done on the two Swedish companies Scania AB and Atlas Copco to find out if Industry 4.0 will ensue in an economical growth and better working conditions for the workers. This study began with a research in the form of a literature study on sustainable production, Industry 4.0 and smart manufacturing. With the obtained information, more specific searches could be made on scientific articles about Industry 4.0 and its economic and social impact, while on the side, questions were written down to prepare an interview study for the previously named companies. Finally, all the collected facts and data was analyzed to attempt to answer this papers issue and sub questions. From the social aspect point of view, this study showed a potential driving force to why a Swedish company today needs to go for Industry 4.0. It is that the interest for traditional manufacturing work has decreased and with automation, manufacturing is less dependent on the human. Furthermore, the work tasks on the shop-floor will change to interacting with automated technology. Humans will still be important which means the need for labour will remain but with higher prerequisites for the employees - especially education. Knowledge about IT will be prioritized with the coming system. Complexity which is brought by smart manufacturing, and with that, industry companies will have to attract new competent employees as the same time as they form and educate the old ones. New employees will be able to learn work tasks easily thanks to Virtual Reality technology and by so, opening moreways for the company to acquire competent personnel. The historically-known problem of outburned or injured employees will be minimized thanks to new assisted tools and digitalized employee-training in a real and work-oriented environment. The economical perspective showed in this paper that there are new value creating processes and therefore new business models that try to supply tailor-made solutions to the customers. One out of these models is the outcome-business-model that focuses on satisfying the customer’s needs before they even appear. To be able to do this, smart sensors are placed in products to collect a large amount of data that will be analysed to see if some parts need replacement for instance. Another economical consequence that is expected from Industry 4.0 is that companies will try to incorporate smart technology in the production line where all machines will be connected to a network and able to exchange data and information. The reason is similar to the outcome-based-business-model, where the data will tell how machines and people perform and the software will there be able to suggest areas of improvement and lead to increased productivity, effectivity and enhanced quality.
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KLINGA, PETTER, and ERIK STORÅ. "Vilka utmaningar och hinder möter större tillverkande företag vid implementering av digital och smart teknik samt hur kan dessa åtgärdas? : En studie kring den pågående digitala transformationen av tillverkningsindustrin." Thesis, KTH, Industriell produktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233206.
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Den globala industrin har under det senaste decenniet genomgått en enorm digital transformation, där tillämpandet av digitala och smarta verktyg inom företag aldrig har varit mer påtagligt. Under november 2011 presenterades begreppet Industrial 4.0 i en artikel skriven av den Tyska regeringen som beskriver en teknikintensiv strategi för år 2020 och omfattar vad idag betraktas som den fjärde industriella revolutionen. Industri 4.0 utgörs till stor del av integrationsprocessen mellan teknik och övrig verksamhet inom ett tillverkningsföretag, vilket i sin tur ger upphov till teknik såsom; automation, förstärkt verklighet, simuleringar, intelligenta tillverkningsprocesser samt övriga processindustriella IT-verktyg och -system. Flertal forskningsstudier hävdar att Industri 4.0-teknologier har potential att revolutionera sättet företag idag tillverkar produkter, men i och med att begreppet är relativt nytt, abstrakt samt består av väldigt komplexa tekniker och komponenter, är införandet av dessa inom en tillverkningsmiljö för närvarande en stor utmaning för tillverkande företag. Denna studie syftar alltså till att belysa de utmaningar och hinder som större tillverkande företag möter vid implementering av digital och smart teknik, samt åtgärder för att motverka dessa. Målet med studien är att leverera ett användbart resultat både för aktiva företag inom tillverkningsindustrin i form av stöd vid analys och diskussion av eventuella implementeringsstrategier och -satsningar inom Industri 4.0, men också ge övriga intressenter en uppfattning kring ämnet med tanke på att det, som sagt, är ett abstrakt system. En litteraturstudie genomfördes både för att få en överblick kring ämnet Industri 4.0 och hur det har behandlats i tidigare examensarbeten, avhandlingar samt forskningsstudier, men även för att identifiera tidigare identifierade hinder. Därefter genomfördes fältstudier på två tillverkande företag, Scania och Atlas Copco, samt teknikkonsultföretaget Knightec. Syftet med detta var framförallt att få en mer påtaglig och verklighetsförankrad uppfattning av Industri 4.0 men även verifiera att informationen i den teoretiska delen är relevant i praktiken för en tillverkande verksamhet. Studien påvisade därtill att identifierade utmaningar och hinder återfinns bland flertal organisatoriska områden inom ett tillverkande företag, varav de mest framgående aspekterna omfattade strategi, ledarskap, kunder, kultur, anställda, juridik samt teknik. Resultatet avslöjade vidare att tillverkande företag präglas av bristfälliga planer och strategier för att identifiera samt implementera nya tekniska lösningar, konflikter bland de anställda, svårigheter att integrera kundsystem enhetligt inom produktionen, avsaknad av lämplig teknisk kompetens, juridiska problem vad gäller hantering av data samt svårigheter att integrera nya och gamla teknologier.The global industry has during the last decade undergone a considerable digital transformation, whereas the application of digital and smart technology within companies has never been more of a relevant field. During November of 2011, the term Industrial 4.0 was presented in an article written by the German government to describe a technology intensive strategy for the year 2020 and signifies what today is defined as the fourth industrial revolution. Industry 4.0 largely consists of the integration process between technology and remaining operations within a manufacturing company, which enables the development of technologies such as; automation, augmented reality, simulations, intelligent manufacturing processes and other process industrial IT-tools and systems. Several research studies has suggested that Industry 4.0 technologies has the potential to revolutionize the way companies today manufacture products, however, since the concept is relatively new, abstract and consists of various complex technologies and components, the implementation process of these within a manufacturing environment is one largest challenges that manufacturing companies are facing. This study therefore aims to highlight the challenges and difficulties that large manufacturing companies are facing when implementing digital and smart technology, as well as provide solutions regarding how they can be overcome. The overall goal is to deliver useful results both for active companies within the manufacturing industry in regards to serving as support when analyzing and discussing possible implementation strategies as well investments related to Industry 4.0, but also to provide surrounding stakeholders with a perception of the subject. At the commencement of the project, a literature study was performed to develop an overview of how Industry 4.0 has been discussed in previous theses and research studies as well as to find previously identified difficulties regarding the implementation process. Finally, a field study was performed at Scania and Atlas Copco and at the technology consulting firm Knightec. The main purpose was to gain a more realistic perspective regarding how digitalization and Industry 4.0 systems are applied and to verify that the information from our theoretical study is relevant and applicable within an actual manufacturing company. The study furthermore revealed that the identified difficulties and challenges can be found within multiple organizational areas of a manufacturing company, whereas the most distinct aspects consisted of strategy, leadership, customers, culture, employees, legal governance as well as technology. The results showed that companies were characterized by an overall lack of strategy to implement new technologies, conflicts with employees during implementation, difficulties to integrate customer orders with production, lack of technical skills in staff, legal issues regarding data storage and difficulties integrating new and old technologies.
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Nemrow, Andrew Craig. "Implementing an IIoT Core System for Simulated Intelligent Manufacturing in an Educational Environment." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8822.
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In this new digital age, efficiency, quality and competition are all increasing rapidly as companies leverage the Industrial Internet of Things (IIoT). However, while industrial innovation moves at a faster and faster pace, educational institutions have lagged in the development of the curriculum and environment needed to support further development of the IIoT. To fully realize the potential of the IIoT in the manufacturing sector educational institutions must support the technological training and education rigor demanded to instill the skills and thought leadership to move the industry forward. The purpose of this research is to provide an IIoT core system in an educational factory environment. This system will assist in teaching basic principles of IIoT in the factory while simultaneously allowing for students to envision the manufacturing journey of any facility by implementing principles of IIoT. This will be accomplished by providing all the following capabilities together in a single data system: unified connectivity, role-based data display, real-time issue identification, data analytics, and augmented reality.
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Dvořák, Miroslav. "Industry 4.0 v podnikové praxi v České republice." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264366.
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The thesis reviews the current situation related to the Industry 4.0 and puts it into context. In the first part of the thesis, there is an introduction to the current economic situation and the major challenges. The concept and vision of Industry 4.0 is introduced together with the world's leading initiatives and examples of Industry 4.0 technologies in manufacturing processes presented by tech leaders. The thesis also includes examples of readiness models and simulated calculation ROCE. The finding of the thesis is that, although the very concept of Industry 4.0 is not well known, digitization and automation of production continues and both are considered a necessity. Interviews with experts from the business practice in the Czech Republic introduces key opportunities and challenges arising from new technologies and when they might become the new standard.
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Persson, Björn. "Contextualizing Industry 4.0 in the Pulp and Paper industry : A case study at Stora Enso." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-68523.
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Leading industrial nations invest to try to increase advanced manufacturing and innovation to catch up in a free-market world. One common vision for these investments has been Industry 4.0. In short can this topic be described as the internet moving into the industry. The concept is relatively new and has become one of the most discussed topics during the last couple of years in many manufacturing conferences. However, the industry is so far lacking a clear definition of the concept, and much of the focus is on laboratory experiments rather than industrial applications. The research that has been conducted so far has not involved the process industry, where this thesis will operate. The purpose of this study is to contribute to the understanding of how Industry 4.0 can be related to the pulp and paper industry by contextualizing the concept, and function as a “door-opener” for further research. Potentials, sustainability aspects and a concrete example has been used to comprehend this. The study has been designed with a qualitative approach through semi-structured interviews at the specific case company Stora Enso, Skoghall. As the concept of Industry 4.0 not yet has an explicit definition the start of the thesis was therefore to create a theoretical framework of the theory to relate to during the rest of the study. The findings of the research show that Industry 4.0 in the pulp and paper industry focuses on Availability through possibilities of prediction and response improvement. The concept should emphasis on keeping the production ongoing with fever break-downs and increased Quality of the products. Communication improvements will be essential in reaching the new industry level, with connecting the whole plant as a crucial part. The thesis contributes with a first insight to what Industry 4.0 will mean to the pulp and paper industry and how it contextualizes in the sector.Framträdande industriella nationer investerar idag för att öka den avancerade tillverkningen och antalet innovationer för att hänga med i den fria marknaden. En gemensam vision för de här investeringarna är Industri 4.0. I korta drag kan det beskrivas som att internet flyttar in i industrin. Konceptet är relativt nytt och har kommit att bli ett av de mest diskuterade områdena under de senaste åren på tillverkningskonferenser. Industrin saknar dock en tydlig definition av konceptet, och mycket av fokus gällande ämnet hamnar på laborationsexperiment istället för praktiska applikationer. Vidare finns det ett behov av att titta på hur detta ser ut i processindustrin eftersom detta ännu inte granskats, vilket kommer vara området för uppsatsen. Syftet med denna studie är att bidra till förståelsen för hur Industri 4.0 kan relateras till pappersindustrin genom att kontextualisera konceptet och verkasom en ”dörr-öppnare” för vidare forskning. Möjligheter, hållbarhetsaspekter och ett konkret exempel har använts för att skapa förståelse för detta. Studien har designats med ett kvalitativt angreppssätt med semi-strukturerade intervjuer på det specifika fallet, Stora Enso Skoghall. Eftersom konceptet Industri 4.0 ännu saknar en tydlig definition började studien med att skapa ett teoretiskt ramverk för att kunna relatera till detta genom arbetet. Resultaten visar att Industri 4.0 i pappersindustrin fokuserar på Tillgänglighet genom ökade prediktions- och åtgärdsmöjligheter. Konceptet borde lägga vikt vid att hålla igång produktionen med färre avbrott och ökad Kvalitet på produkterna. Kommunikationsförbättringar kommer bli essentiella för att nå den nya nivån av industri, där integrationen av hela fabriken kommer spela en stor roll. Examensarbetet bidrar med en första inblick i vad Industri 4.0 kommer betyda för pappersindustrin och hur det kontextualiseras i branschen.
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Marti, Nieto Flor de Asis. "Contribution à la conception et conduite des systèmes d’information dans un contexte d’usine du futur par une approche basée co-évolution." Thesis, Strasbourg, 2019. http://www.theses.fr/2019STRAD016/document.
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Dans le contexte actuel, la transformation de l’outil industriel par l’intermédiaire de nouveaux paradigmes de performance tels qu’Usine du Futur (Factory of the Future FoF), Industry 4.0 (I4.0) ou encore Smart Factory (SF) est au cœur des préoccupations actuelles des industriels. Les travaux présentés dans cette thèse portent sur la problématique de passage d’une situation spécifique existante (AS-IS) vers une situation cible type Usine du Futur (TO-BE) en prenant en compte la situation souhaitée AS-WISHED et les contraintes de ressources. Dans ce cadre, la principale contribution porte sur une approche reposant sur un modèle de co-évolution permettant de guider ce projet de transition au sein de l’organisation. Sur la base des travaux de Tolio et al. (2010), nous avons proposé un modèle de co-évolution amélioré en intégrant le niveau stratégique, le rôle du système d’information (SI) et celui de la place l’homme. Sur le plan théorique, le nouveau modèle de co-evolution aborde 3 domaines Produit/Production/SI qui sont structurés en deux niveaux d’analyse : externe (stratégique) et interne (structurel). L’ensemble de 6 sous-domaines comportent chacun 3 composants couvrant les choix relatifs à chaque sous-domaine et niveau d’analyse. Sur le plan managérial, la gestion de la co-évolution réside dans la modélisation des ces composants. Ensuite, nous caractérisons des liens de co-évolution existants entre les différents sous-domaines du modèle de co-évolution proposé. La démarche d’exploitation du modèle de co-évolution comporte trois étapes et considère les contraintes opérationnelles et les contraintes dites de co-évolution liées à la gestion des liens ou impacts entrant en jeu dans la co-évolution. Il permet de passer progressivement des modèles AS-IS et AS-WISHED pour aboutir à un modèle TO-BEWithin the current context, the transformation of industries through new paradigms of performance such as The Factory of the Future (FoF), Industry 4.0 (I 4.0) or even The Smart Factory (SF) is at the heart of the industrials’ current concerns. The present work address the problem of the transition from a specific situation (AS-IS) to a target situation alike FoF (TO-BE) considering the desired situation AS-WISHED and the resources constraints. In this line of action, the main contribution concerns an approach based on a co-evolution model enabling to guide manufacturing industries to perform such a transition. Based on the work of Tolio et al. (2010), we propose an enhanced co-evolution model that integrates the strategic level of decisions, the information system role (IS) and the role of the human workforce. From the theoretical perspective, this new model consists in 3 domains: Product design/ Manufacturing/ IS which are structured into two levels of analysis: external (strategic) and internal (operational). The resulting structure of 6 sub-domains is in turn composed of 3 components covering the decisions related to each sub-domain and level of analysis. From the management perspective, the management of co-evolution relies on the modelling of their components. Hence, we exploit the modelling language constructs of the ISO 19440 (2007) standard for the internal components. Then, we characterize the existing co-evolution links between the different sub-domains of the proposed co-evolution model. At last, a 3 phase approach enabling to exploit the enhanced co-evolution model is proposed. It considers the feasibility constraints and the co-evolution constraints linked to the management of the links or impacts that came into play in the co-evolution. As such, it enables to work out progressively a feasible TO-BE model
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ETEMADY, QESHMY DANIAL, and JACOB MAKDISI. "Human error management 4.0 : Augmented Reality Systems as a tool in the quality journey." Thesis, KTH, Industriell Management, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239544.
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The manufacturing industry is shifting, entering a new era with smart and connected devices. The fourth industrial revolution (Industry 4.0) is promising increased growth and productivity by the Smart Factory and within the enabling technologies is Augmented Reality (AR). This is a technology that can be used to augment the reality with digital information. At the same time as the technology is introduced, errors in manufacturing are a problem which are affecting the productivity and the quality. The errors can be caused by humans and companies strive to eliminate the errors caused by humans. This research aims to find the main causes of human errors in assembly lines and thereafter explores whether AR is an appropriate tool to be used in order to address those issues. Based on a literature review that identified and characterized a preliminary set of root causes for human errors in assembly lines, these causes were empirically studied in an exercise that covered an in-depth case study at a multinational automotive company. Data in form of interviews and deviation reports have been used to identify the causing factors and the result showed that the main causes of human errors are the amount of thinking, deciding and searching for information which affected the cognitive load of the operator and in result their performance. Several interviews with experts in AR allowed to verify if this technology would be feasible to solve or mitigate the found causes. Besides that, in repetitive manual assembly operations, AR is better used showing the process in order to train new operators, at the same time as for experienced operators AR show information only when an error occurs and when there is a need of taking an active choice is more appropriate. Nevertheless, while theoretically able to managing human error when fully developed, the desired application makes the augmentation of visual objects redundant and increasingly complex for solving the identified causes of errors which questions the appropriateness of using AR systems. However, the empirical findings showed that for managing human errors, the main bottleneck of an AR system is the software and AI.Den tillverkande industrin skiftar och går in i en ny era där smart och uppkopplad teknologi introduceras i de operativa delarna av tillverkningen. Denna fjärde industriella revolution (Industry 4.0) som den även kallas för med smarta fabriker, utlovar ökad produktivitet och tillväxt. Bland de teknologier som representeras i detta nya landskap återfinns Augmented Reality (AR), vilket är en teknik som används för att förstärka verkligheten med digital information. I samband med att denna nya teknik introduceras, är avvikelser i produktion ett problem som påverkar företags produktivitet och kvalitet. Den mänskliga faktorn är en bidragande del till detta problem och företag strävar efter att eliminera felen orsakade av människor. Denna studie syftar till att hitta orsakerna till att människor orsakar fel i produktion och därefter utforska om AR är ett lämpligt verktyg att använda för att råda bot på dessa orsaker och därmed eliminera felen. Genom en litteraturstudie har det identifierats ett antal faktorer som påverkar den mentala belastningen hos människor i produktionssammanhang. Dessa faktorer har därefter undersökts genom en fallstudie hos en multinationell tillverkare av kommersiella fordon. Datainsamling i form av intervjuer och avvikelsedata har använts för att identifiera de påverkande faktorerna och resultaten pekade på att behovet av att behöva tänka, leta efter information och fatta beslut påverkade den mentala belastningen mest. Intervjuer hölls med forskare och montörer för att definiera en lämplig AR funktion som sedan undersöktes genom flera intervjuer med forskare inom AR för att verifiera om AR är en lämplig teknik att använda för de identifierade orsakerna. I termer av AR i en arbetsmiljö med repetitiva aktiviteter efterfrågas en funktion som visualiserar fel för montörer som är erfarna medan det för oerfarna montörer är bättre med visualisering av hela arbetsprocessen. Men, trots att systemet i teorin är lämpligt att använda för att hantera orsakerna till att felen uppstår så är den efterfrågade funktionen överflödig då visualisering kommer visas väldigt sällan samt att tekniken är väldigt komplex. Detta gör att det går att ifrågasätta hela funktionen av att använda AR system i det fall som studerades. Dessutom visade sig tekniken vara olämplig att använda i den miljö fallet utspelar sig i på grund av svårigheter med artificiell intelligens (AI).
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Barbieri, Matteo. "Seamless infrastructure for "Big-Data" collection and transportation and distributed elaboration oriented to predictive maintenance of automatic machines." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.
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In questo progetto di tesi, realizzato all'interno del laboratorio industriale LIAM Lab, si propone lo sviluppo e la sperimentazione di un'infrastruttura hardware e software per l'acquisizione e l'elaborazione di segnali da sensori di macchine automatiche da utilizzare per effettuare operazioni di diagnostica predittiva su di essa. La tematica sta avendo sempre più seguito all'interno del settore, in quanto la sua realizzazione si basa profondamente sui concetti di industria 4.0, internet delle cose e big data. Nel caso particolare l'infrastruttura riceverà dati da accelerometri con frequenze variabli dai 5KHz a 50KHz e su di questi applicherà un algoritmo di identificazione e semplici test statistici. Successivamente, i parametri dentificati e i risultati dei test verranno poi inviati via OPC ad un computer che provvederà alla loro rielaborazione. Con rielaborazione si intende l'utilizzo di ulteriori test statistici più complessi e anche algoritmi di machine learning. L'infrastruttura ha quindi il compito di "prepare la strada" per l'acquisizione e rielaborazione dei segnali ricevuti dai sensori per poter realizzare in seguito algoritmi in grado di apprendere le condizioni operative della macchina cosicchè sia possibile prevederne produzione e manutenzione.
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Saliba, Tommy, and Philip Thulin. "Smart Beta Factor Investing." Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44086.
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Tolman, Jim. "Evaluation of a Multi-User Virtual Reality System for Collaborative Layout Planning Processes." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238186.
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This paper discusses the application of a tool for experiencing the usage of Virtual Reality (VR) in the factory layout planning process of Scania. The goal is to evaluate the system's collaborative capabilities and to assess the usability. The study combines existing methodologies in a novel way. The method consists of recording 16 participants in performing a collaborative task, and then coding for Collaborative Joint attention (CJA). Furthermore the evaluation makes use of the System Usability Scale (SUS) and Nielsen's Heuristics. The system's score on the SUS appeared to be above average, but participants with higher experience in factory planning gave higher scores. There were numerous problems related to the physical room being smaller than the virtual room, user control was limited and the embodiment of the users (avatars) proved to be distracting. The findings have implications for builders and evaluators of multiparty VR systems, that allow for collaboration. The evaluators need to consider including CJA as one of their dependent variables.Denna studie beskriver tillämpningen och utvärderingen av ett system för användning av Virtual Reality (VR) i samband med layoutplanering av Scania-fabriker. Målet är att utvärdera samarbetet inom systemet samt att bedöma användarvänligheten. Studien använder befintliga metoder på nya sätt. 16 deltagare filmas när de utför en gemensam uppgift och kodas sedan för Collaborative Joint Attention (CJA). Utvärderingen använder sig även av System Usability Scale (SUS) och Nielsens Heuristics. SUS-poängen var över genomsnittet, men deltagare med tidigare erfarenhet av layoutplanering gav systemet ett högre betyg. Det fanns många problem relaterade till att det fysiska rummet var mindre än det virtuella rummet, begränsad användarkontroll och att gestaltningen av brukarens avatar visade sig vara distraherande. Resultaten har konsekvenser för byggare och utvärderare av VR-fleranvändarsystem för samarbete. En rekommendation till utvärderare är att överväga användning av CJA som en beroende variabel.
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Eklind, Sebastian, and Michelle Larsson. "Samarbetet mellan människa och automation i det avhjälpande underhållet : behovsanalys och krav på framtida utveckling av automationsutrustning." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13897.
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Detta arbete har utforskat interaktionen mellan människa och automation inom det avhjälpande underhållet på två tillverkande företag. Arbetets syfte är bidra till att människor och automationsutrustningar framgångsrikt kan samarbeta i framtidens fabriker. Studien har undersökt hur interaktionen ser ut i dagsläget, var det idag saknas interaktion, hur interaktionen kan komma att se ut i framtiden samt vilka krav som behöver uppnås för att komma dit. Studien har också haft ett fokus på hållbar utveckling och hur interaktionen kan påverka denna. Projektets resultat är framtaget genom att utföra två deltagande observationer, en på vartdera företaget samt fyra semistrukturerade intervjuer per företag. I dagsläget sker mycket kommunikation genom telefon för att påkalla uppmärksamhet hos personal med information om larm och plats. Felsökning sker genom en panel vid maskinen alternativt via dator som kopplas upp mot maskinen vid djupare felsökning. Det finns i dagsläget även teknik såsom kommunikationsradio, tangentbord och mus som undviks att användas i största möjliga mån eftersom de anses vara svåra att manövrera. Resultaten visar att det finns ett behov av att få mer information i underhållets alla faser och att tekniken som används behöver vara mer mobil än i dagsläget. Författarna ger förslag på att handhållna enheter kan användas i framtidens underhåll och att röstigenkänning, Virtual Reality och Augmented Reality kan användas i dessa. Även smarta klockor rekommenderas att användas för att påkalla uppmärksamhet hos personal och samtidigt ge information om larm. Det finns en förhoppning om att mer information och mer mobil teknik kan effektivisera underhållet och därmed minska tiden för att utföra ett avhjälpande underhåll. Författarna rekommenderar starkt att all teknik som är tänkt att bli implementerad först testas i en realistisk miljö av de personer som ska använda tekniken.The project has explored the interaction between humans and automation within the remedial maintenance on two manufacturing companies. The purpose of the project is to contribute to the interaction between humans and automation and by that make it successful in the future. The study has investigated how the present interaction is designed, where there is a need for interaction, how the interaction can be designed in the future together with the requirements that will need to be achieved to get there. In this study there is also a focus on sustainable development and how the interaction affects it. The result of the project is produced by performing two attendance observations, one at each company and four semi-structured interviews at each company. Today a lot of communication is done by phone to get the attention of personnel and summon them to the machine that has stopped. The troubleshooting of the machine is done in a panel or with a computer if deeper troubleshooting is needed. The computer needs to be connected to the machine. Today there are some technics that are present but these are not used due to the fact that they are perceived tedious to use. These technics are communication radio, mouse and keyboard. The result of the study indicates that there is a need for more information in all the phases of a remedial maintenance work. It also shows that the technics needs to be more mobile compared to how it is today. The authors recommends that handheld devices are used in the future and that softwares such as voice recognition, Virtual Reality and Augmented Reality are used within the handheld devices. Smartwatches are also interesting in an attention point of view where alarm messages can be shown. There is a belief that with more information and more mobility the maintenance will be more effective in the future and that the time for remedial maintenance will reduce. The authors strongly recommend that all technics that will be implemented need to first be tested in a realistic environment and by the people that should use it.
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Nessle, Åsbrink Marcus. "A case study of how Industry 4.0 will impact on a manual assembly process in an existing production system : Interpretation, enablers and benefits." Thesis, KTH, Industriell produktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288514.
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The term Industry 4.0, sometimes referred to as a buzzword, is today on everyone’s tongue and the benefits undeniably seem to be promising and have potential to revolutionize the manufacturing industry. But what does it really mean? From a high-level business perspective, the concept of Industry 4.0 most often demonstrates operational efficiency and promising business models but studies show that many companies either lack understanding for the concept and how it should be implemented or are dissatisfied with progress of already implemented solutions. Further, there is a perception that it is difficult to implement the concept without interference with the current production system.The purpose of this study is to interpret and outline the main characteristics and key components of the concept Industry 4.0 and further break down and conclude the potential benefits and enablers for a manufacturing company within the heavy automotive industry. In order to succeed, a case study has been performed at a manual final assembly production unit within the heavy automotive industry. Accordingly, the study intends to give a deeper understanding of the concept and specifically how manual assembly within an already existing manual production system will be affected. Thus outline the crucial enablers in order to successfully implement the concept of Industry 4.0 and be prepared to adapt to the future challenges of the industry. The case study, performed through observations and interviews, attacks the issue from two perspectives; current state and desired state. A theoretical framework is then used as a basis for analysis of the result in order to be able to further present the findings and conclusion of the study. Lastly, two proof of concept are performed to exemplify and support the findings. The study shows that succeeding with implementation of Industry 4.0 is not only about the related technology itself. Equally important parts to be considered and understood are the integration into the existing production system and design and purpose of the manual assembly process. Lastly the study shows that creating understanding and commitment in the organization by strategy, leadership, culture and competence is of greatest importance to succeed.Begreppet Industri 4.0, ibland benämnt som modeord, är idag på allas tungor och fördelarna verkar onekligen lovande och tros ha potential att revolutionera tillverkningsindustrin. Men vad betyder det egentligen? Ur ett affärsperspektiv påvisar begreppet Industri 4.0 oftast ökad operativ effektivitet och lovande affärsmodeller men flera studier visar att många företag antingen saknar förståelse för konceptet och hur det ska implementeras eller är missnöjda med framstegen med redan implementerade lösningar. Vidare finns det en uppfattning att det är svårt att implementera konceptet utan störningar i det nuvarande produktionssystemet. Syftet med denna studie är att tolka och beskriva huvudegenskaperna och nyckelkomponenterna i konceptet Industri 4.0 och ytterligare bryta ner och konkludera de potentiella fördelarna och möjliggörarna för ett tillverkande företag inom den tunga bilindustrin. För att lyckas har en fallstudie utförts vid en manuell slutmonteringsenhet inom den tunga lastbilsindustrin. Studien avser på så sätt att ge en djupare förståelse för konceptet och specifikt hur manuell montering inom ett redan existerande manuellt produktionssystem kommer att påverkas. Alltså att kartlägga viktiga möjliggörare för att framgångsrikt kunna implementera konceptet Industri 4.0 och på så sätt vara beredd att ta sig an industrins framtida utmaningar. Fallstudien, utförd genom observationer och intervjuer, angriper frågan från två perspektiv; nuläge och önskat läge. Ett teoretiskt ramverk används sedan som underlag för analys av resultatet för att vidare kunna presentera rön och slutsats från studien. Slutligen utförs två experiment för att exemplifiera och stödja resultatet. Studien visar att en framgångsrik implementering av Industri 4.0 troligtvis inte bara handlar om den relaterade tekniken i sig. Lika viktiga delar som ska beaktas och förstås är integrationen i det befintliga produktionssystemet och utformningen och syftet med den manuella monteringsprocessen. Slutligen visar studien att det är av största vikt att skapa förståelse och engagemang i organisationen genom strategi, ledarskap, kultur och kompetens.
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Hjälte, David. "Mot Industri 4.0 genom statistisk dataanalys : En studie om positionen av stansade hål vid Scania Ferruforms saidobalkstillverkning." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85648.
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Den fjärde industriella revolutionen, även kallad Industri 4.0, drivs av ett antal teknologier som medför digitalisering och automatisering av industriella processer. Konceptet innebär en applicering av dataanalys med avancerade analytiska verktyg på stora mängder data, vilka påstås ge stora möjligheter för kvalitetsförbättringar. För att en sådan övergång ska ske är förmågan att hantera data avgörande. Trots det uppvisar många företag idag bristande användning av data för att ta beslut. Frågan är hur företag kan göra för att hantera data och utföra en transformation till Industri 4.0. För att studera det här ämnet har det här examensarbetet utförts som en fallstudie på en stansprocess hos Scania Ferruform. Genom en litteraturstudie, kvantitativ datainsamling samt observationer och intervjuer undersökte examensarbetet den nuvarande användning av data i processen. Därefter undersöktes data med statistiska verktyg för att visa på hur data kan hanteras i en process för att erhålla större kunskap om orsaker till avvikelser. Examensarbetet utredde till sist hur fortsatt arbete med datahantering kan utföras för att uppnå målet Industri 4.0.Analysverktyg har använts för att analysera över 39 000 datapunkter. Resultatet visar på att det finns utvecklingsmöjligheter vad gäller insamling, kvalitet och användning av data. Ett ramverk presenteras för hur företaget bör hantera data för att kunna utvinna ny kunskap från deras processer samt hur Ferruform fortsatt kan arbeta mot Industri 4.0.Slutligen ges rekommendationer om fortsatta studier. Resultatet av examensarbetet blir ett stöd för Ferruform i deras arbete mot mer dugliga processer och den tekniska utveckling företaget eftersträvar.The fourth industrial revolution, also called Industry 4.0 is powered by several technologies which result in digitalization and automatization of industrial processes. The concept includes the application of big data and advanced analytics, which are said to provide great opportunities for quality improvements. For such a transition to take place, the ability to handle data is crucial. Despite this, many companies today show a lack of use of data to drive decision-making. The question is how companies can manage data and ultimately transition towards Industry 4.0. To research this topic this thesis has been carried out as a case study of a punching process at Scania Ferruform. Through a literature review, quantitative data collection, as well as observations and interviews, the thesis examined the current use of data in the process. Subsequently, data were examined with statistical tools to illustrate how data can be managed in a process to attain increased knowledge about causes of deviations. Lastly, the thesis explored future work towards Industry 4.0. Analysis tools have been used to analyse over 39 000 data points. The result of the study shows that there are opportunities for development in terms of collection, quality and use of data. A framework of how Ferruform should manage data in order to extract new knowledge from its processes is presented. Furthermore, an action plan is presented for a transition towards Industry 4.0. Finally, recommendations are given for further studies. The result of the thesis will be helpful for Ferruform in its transition towards more efficient processes and the technical development of which the company strives towards.
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Sylvan, Andreas. "Internet of Things in Surface Mount TechnologyElectronics Assembly." Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209243.
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Currently manufacturers in the European Surface Mount Technology (SMT) industry seeproduction changeover, machine downtime and process optimization as their biggestchallenges. They also see a need for collecting data and sharing information betweenmachines, people and systems involved in the manufacturing process. Internet of Things (IoT)technology provides an opportunity to make this happen. This research project gives answers tothe question of what the potentials and challenges of IoT implementation are in European SMTmanufacturing. First, key IoT concepts are introduced. Then, through interviews with expertsworking in SMT manufacturing, the current standpoint of the SMT industry is defined. The studypinpoints obstacles in SMT IoT implementation and proposes a solution. Firstly, local datacollection and sharing needs to be achieved through the use of standardized IoT protocols andAPIs. Secondly, because SMT manufacturers do not trust that sensitive data will remain securein the Cloud, a separation of proprietary data and statistical data is needed in order take a stepfurther and collect Big Data in a Cloud service. This will allow for new services to be offered byequipment manufacturers.I dagsläget upplever tillverkare inom den europeiska ytmonteringsindustrin för elektronikproduktionsomställningar, nedtid för maskiner och processoptimering som sina störstautmaningar. De ser även ett behov av att samla data och dela information mellan maskiner,människor och system som som är delaktiga i tillverkningsprocessen.Sakernas internet, även kallat Internet of Things (IoT), erbjuder teknik som kan göra dettamöjligt. Det här forskningsprojektet besvarar frågan om vilken potential som finns samt vilkautmaningar en implementation av sakernas internet inom europeisk ytmonteringstillverkning avelektronik innebär. Till att börja med introduceras nyckelkoncept inom sakernas internet. Sedandefinieras utgångsläget i elektroniktillverkningsindustrin genom intervjuer med experter.Studien belyser de hinder som ligger i vägen för implementation och föreslår en lösning. Dettainnebär först och främst att datainsamling och delning av data måste uppnås genomanvändning av standardiserade protokoll för sakernas internet ochapplikationsprogrammeringsgränssnitt (APIer). På grund av att elektroniktillverkare inte litar påatt känslig data förblir säker i molnet måste proprietär data separeras från statistisk data. Dettaför att möjliggöra nästa steg som är insamling av så kallad Big Data i en molntjänst. Dettamöjliggör i sin tur för tillverkaren av produktionsmaskiner att erbjuda nya tjänster.
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Yu, Hsiao-Shan, and 游曉珊. "Business Model of Smart Factory." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/99drtq.
Full textAbstract:
碩士國立清華大學
經營管理碩士在職專班
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The progress of wireless and the popularity of smart phones, Internet of things, Big data and artificial intelligence has become the past decade of the show. With the rapid progress of semiconductor sensor, making the collection and analysis of big data becomes easier and faster. In 2013, German government officially puts forward the final report of the industry 4.0 at the Hannover Fair, the concept of Internet of Things with AI were applied in the industry, the in eco system of industrial Internet of Thing are arisen spontaneously. Industrial Internet is mainly based on the manufacturing industry. Collected information by sensors, efficiency, quality, all the important events of production will be analyzed and improved ; not only production, but also the energy and logistic of factory. All these will help the cost be reduced directly or indirectly. Through the case study of GE, it will be understood step by step by the history and advantage of IIoT. And based on the new business model of L company which is doing OEM and ODM business in Taiwan, to know what they try to do for the transformation by smart factory. Try to find a way to be a solution service provider instead of traditional hardware maker by low-cost competition.