Academic literature on the topic 'Smart Factory'

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Journal articles on the topic "Smart Factory"

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Grawe, Christian. "Smart Factory." Controlling 28, no. 6 (2016): 362–63. http://dx.doi.org/10.15358/0935-0381-2016-6-362.

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Hajrizi, E. "Smart Solution for Smart Factory." IFAC-PapersOnLine 49, no. 29 (2016): 1–5. http://dx.doi.org/10.1016/j.ifacol.2016.11.052.

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MATSUBARA, Atsushi. "Smart Factory and Smart Machine." Proceedings of Conference of Kansai Branch 2018.93 (2018): 03. http://dx.doi.org/10.1299/jsmekansai.2018.93.03.

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Lee, Jay. "Smart Factory Systems." Informatik-Spektrum 38, no. 3 (May 9, 2015): 230–35. http://dx.doi.org/10.1007/s00287-015-0891-z.

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Kletti, Nathalie. "Smart Factory Elements." VDI-Z 161, no. 04 (2019): 22–23. http://dx.doi.org/10.37544/0042-1766-2019-04-22.

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Die Anforderungen an die Produktion sind enorm gewachsen, was zu einer gestiegenen Komplexität führt: zum Beispiel hohe Variantenvielfalt, kurze Lieferfristen, schnelle Prozessanpassungen, kleinere Losgrößen bis zu Losgröße 1. In Zeiten von Industrie 4.0 ist das ganz eindeutig ein Fall für die „Smart Factory“ – und diese wiederum benötigt bestimmte Prozesse und Funktionen, um den wachsenden Anforderungen gerecht zu werden: die Smart Factory Elements.
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Sinsel, Alexander, Christopher Bangert, Johannes Stoldt, and Thomas Büttner. "Wirtschaftlichkeitsbewertung der Smart Factory." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 112, no. 9 (September 28, 2017): 602–6. http://dx.doi.org/10.3139/104.111794.

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Rößler, Markus Philipp, and Mehdiyar Haschemi. "Smart Factory Assessment (SFA)." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 112, no. 10 (October 27, 2017): 699–703. http://dx.doi.org/10.3139/104.111800.

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Sundari, Dr P. Gnana. "Smart Factory using IoT." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 1089–97. http://dx.doi.org/10.22214/ijraset.2019.3193.

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Harrison, Robert, Daniel Vera, and Bilal Ahmad. "Engineering the smart factory." Chinese Journal of Mechanical Engineering 29, no. 6 (October 27, 2016): 1046–51. http://dx.doi.org/10.3901/cjme.2016.0908.109.

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Gohr, Katharina, and Jürgen Greifeneder. "Smart Factory Acceptance Test." atp edition - Automatisierungstechnische Praxis 56, no. 12 (December 1, 2014): 36. http://dx.doi.org/10.17560/atp.v56i12.468.

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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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Books on the topic "Smart Factory"

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Kozai, Toyoki, ed. Smart Plant Factory. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1065-2.

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Programming Microsoft Composite UI Application Block and Smart Client Software Factory. Redmond, Wash: Microsoft Press, 2008.

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Wolfson, Susan. Seconds city: The smart shopper's guide to almost 1,000 Chicagoland factory outlets. Chicago: Contemporary Books, 1986.

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DeVane, Matthew S. Heart Smart. New York: John Wiley & Sons, Ltd., 2006.

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Zykov, Sergey V., and Amitoj Singh. Agile Enterprise Engineering: Smart Application of Human Factors. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40989-0.

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Boyer, Ernest L. Smart parents guide to college: The 10 most important factors when choosing a college. Princeton, N.J: Peterson's, 1996.

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Benavente-Peces, César, Sami Ben Slama, and Bassam Zafar, eds. Proceedings of the 1st International Conference on Smart Innovation, Ergonomics and Applied Human Factors (SEAHF). Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22964-1.

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University of Toronto. Office of Environmental Health and Safety. Office smarts: Ergonomics for VDT users. Toronto, Ont: Office of Environmental Health and Safety, University of Toronto, 1995.

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DeVane, Matthew S. Heart smart: A cardiologist's 5 step plan for detecting, preventing and even reversing heart disease. Hoboken, New Jersey: John Wiley and Sons, 2006.

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1964-, Boyer Paul, ed. Smart parents guide to college: The 10 most important factors for students and parents when choosing a college. Princeton, N.J: Peterson's, 1996.

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Book chapters on the topic "Smart Factory"

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Lucke, Dominik. "Smart Factory." In Digitale Produktion, 251–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-20259-9_21.

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Thiele, Thomas, Tobias Meisen, and Sabina Jeschke. "Smart Factory." In Handbuch Virtualität, 1–18. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-16358-7_8-1.

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Thiele, Thomas, Tobias Meisen, and Sabina Jeschke. "Smart Factory." In Handbuch Virtualität, 79–96. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-16342-6_8.

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Centea, Dan, Mo Elbestawi, Ishwar Singh, and Tom Wanyama. "SEPT Learning Factory Framework." In Smart Industry & Smart Education, 354–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95678-7_40.

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Tanikawa, Tamio. "Mechanization of Agriculture Considering Its Business Model." In Smart Plant Factory, 241–44. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1065-2_16.

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Kozai, Toyoki. "Current Status of Plant Factories with Artificial Lighting (PFALs) and Smart PFALs." In Smart Plant Factory, 3–13. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1065-2_1.

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Zhang, Ying, and Murat Kacira. "Air Distribution and Its Uniformity." In Smart Plant Factory, 153–66. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1065-2_10.

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Kozai, Toyoki, and Masayuki Nozue. "Reconsidering the Fundamental Characteristics of Photosynthesis and LEDs." In Smart Plant Factory, 169–81. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1065-2_11.

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Kozai, Toyoki, Satoru Tsukagoshi, and Shunsuke Sakaguchi. "Reconsidering the Terminology and Units for Light and Nutrient Solution." In Smart Plant Factory, 183–93. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1065-2_12.

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Nozue, Hatsumi, and Masao Gomi. "Usefulness of Broad-Spectrum White LEDs to Envision Future Plant Factory." In Smart Plant Factory, 197–210. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1065-2_13.

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Conference papers on the topic "Smart Factory"

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Kranzer, Simon, Olaf Saßnick, Dominik Hofer, Simon Hoher, Maximilian Schirl, and Dorian Prill. "Salzburg Smart Factory Bootcamp." In 18. AALE-Konferenz. Hochschule für Technik, Wirtschaft und Kultur Leipzig, 2022. http://dx.doi.org/10.33968/2022.32.

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Wissen über Digitalisierung, Automatisierung und über „smarte“ Technologien sind Schlüssel für einen stabilen und nachhaltigen Erfolg von Klein- und Mittelunternehmen in der Region Salzburg. Die Fachhochschule Salzburg beantragte aus diesem Grund die Initiative Salzburg Smart Factory Bootcamp. Moderne und mobile Industrierobotik, kommunikative Software-Architekturen und OT-Sicherheit bilden die Basis für die Umsetzung aktueller Smart-Factory-Technologien und deren Potentiale in Unternehmen. Ziel des Bootcamps ist die gezielte Weiterqualifizierung mit modernsten Smart-Factory-Technologien von Mitarbeiterinnen und Mitarbeitern der beteiligten Unternehmen. Zusätzlich kann langfristig, auch über die beantragte Projektlaufzeit hinaus, die Zusammenarbeit zwischen Hochschule und Salzburger Unternehmen etabliert und weitergeführt werden.
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Okeme, Peter A., Anastasiia D. Skakun, and Alexander R. Muzalevskii. "Transformation of Factory to Smart Factory." In 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus). IEEE, 2021. http://dx.doi.org/10.1109/elconrus51938.2021.9396278.

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Bürger, Tobias, Erich Gams, and Georg Güntner. "Smart content factory." In the sixteenth ACM conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1083356.1083423.

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Ostroukh, Andrey, and Nataliya Surkova. "Precast Concrete SMART Factory." In 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/mmsa-18.2018.35.

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Dhungana, Deepak, Andreas Falkner, Alois Haselböck, and Herwig Schreiner. "Smart factory product lines." In SPLC '15: 2015 International Conference on Software Product Lines. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2791060.2791066.

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Kalogeras, A. P., P. Foundas, M. Georgoudakis, K. Charatsis, and P. Konstantinopoulos. "Integrated system for smart transport services." In Factory Automation (ETFA 2009). IEEE, 2009. http://dx.doi.org/10.1109/etfa.2009.5346990.

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Kistler, Rolf, Marcel Bieri, Rolf Wettstein, and Alexander Klapproth. "Tunneling Smart Energy protocols over ZigBee." In Factory Automation (ETFA 2009). IEEE, 2009. http://dx.doi.org/10.1109/etfa.2009.5347140.

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Vazquez, Felix Iglesias, Wolfgang Kastner, and Christian Reinisch. "Impact of user habits in smart home control." In Factory Automation (ETFA 2011). IEEE, 2011. http://dx.doi.org/10.1109/etfa.2011.6059104.

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Urbano, Margarida, Jose Fonseca Deti, Urbano Nunes, and Heimo Zeilinger. "Extending a smart wheelchair navigation by stress sensors." In Factory Automation (ETFA 2011). IEEE, 2011. http://dx.doi.org/10.1109/etfa.2011.6059222.

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Park, Jae-il. "A smart factory operation method for a smart grid." In Industrial Engineering (CIE-40). IEEE, 2010. http://dx.doi.org/10.1109/iccie.2010.5668291.

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Reports on the topic "Smart Factory"

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Perry, Anna. Factors Influence Consumers' Purchase Intention of Smart Closets. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1461.

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Zeger, Hans, ed. Smart New World? Key Factors for an Effective and Acceptable Employment of Smart Meters - PROJEKT-ENDBERICHT. Vienna: self, 2015. http://dx.doi.org/10.1553/ita-pb-a57.

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Solovyanenko, Nina I. ЮРИДИЧЕСКИЕ СТРАТЕГИИ ЦИФРОВОЙ ТРАНСФОРМАЦИИ АГРАРНОГО БИЗНЕСА. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70004.

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t.The development of global agricultural production and food trade in recent decades implies a digital transformation and the transition to a new technological order, which is an essential factor for sustainable development. Digitalization of agriculture and the food sector is carried out on the basis of IT 2 platforms, the Internet of Things, cloud computing, big data, artificial intelligence, and blockchain technology. Fragmented and unclear legal mechanisms, slow updating of legal regulation hinder the introduction of digital solutions. A modern regulatory framework based on digital strategies should strengthen the confidence of farmers in "smart agriculture". In Russia, the legal mechanism of strategic planning covers the development of the national platform "Digital Agriculture". Digital strategies also include updating basic legislation.
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Balali, Vahid, Arash Tavakoli, and Arsalan Heydarian. A Multimodal Approach for Monitoring Driving Behavior and Emotions. Mineta Transportation Institute, July 2020. http://dx.doi.org/10.31979/mti.2020.1928.

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Studies have indicated that emotions can significantly be influenced by environmental factors; these factors can also significantly influence drivers’ emotional state and, accordingly, their driving behavior. Furthermore, as the demand for autonomous vehicles is expected to significantly increase within the next decade, a proper understanding of drivers’/passengers’ emotions, behavior, and preferences will be needed in order to create an acceptable level of trust with humans. This paper proposes a novel semi-automated approach for understanding the effect of environmental factors on drivers’ emotions and behavioral changes through a naturalistic driving study. This setup includes a frontal road and facial camera, a smart watch for tracking physiological measurements, and a Controller Area Network (CAN) serial data logger. The results suggest that the driver’s affect is highly influenced by the type of road and the weather conditions, which have the potential to change driving behaviors. For instance, when the research defines emotional metrics as valence and engagement, results reveal there exist significant differences between human emotion in different weather conditions and road types. Participants’ engagement was higher in rainy and clear weather compared to cloudy weather. More-over, engagement was higher on city streets and highways compared to one-lane roads and two-lane highways.
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Solovyanenko, Nina I. Legal features of innovative (digital) entrepreneurship in the agricultural and food sector. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70008.

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Modern agricultural production and food trade are involved in the process of digital transformation, which is a cardinal factor of sustainable development and is carried out on the basis of IT platforms, the Internet of Things, cloud computing, big data, artificial intelligence, blockchain technologies. The COVID-19 pandemic has increased the dependence of these sectors of the economy on information and communication technology infrastructure and services. At the same time, the slow updating of legislation, which lags behind the constantly improving digital technologies, not only hinders their implementation, but also is a source of a number of social and legal problems. A modern regulatory framework based on digital strategies should strengthen "smart agriculture". In Russia, the legal mechanism of digital transformation and development of the national platform "Digital Agriculture" should be supported by updated basic legislation.
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Ghanipoor Machiani, Sahar, Aryan Sohrabi, and Arash Jahangiri. Impact of Regular and Narrow AV-Exclusive Lanes on Manual Driver Behavior. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1922.

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This study attempts to answer the question of how a narrow (9-ft) lane dedicated to Automated Vehicles (AVs) would affect the behavior of drivers in the adjacent lane to the right. To this end, a custom driving simulator environment was designed mimicking the Interstate 15 smart corridor in San Diego. A group of participants was assigned to drive next to the simulated 9-ft narrow lane while a control group was assigned to drive next to a regular 12-ft AV lane. Driver behavior was analyzed by measuring the mean lane position, mean speed, and mental effort (self-reported/subjective measure). In addition to AV lane width, the experimental design took into consideration AV headway, gender, and right lane traffic to investigate possible interaction effects. The results showed no significant differences in the speed and mental effort of drivers while indicating significant differences in lane positioning. Although the overall effect of AV lane width was not significant, there were some significant interaction effects between lane width and other factors (i.e., driver gender and presence of traffic on the next regular lane to the right). Across all the significant interactions, there was no case in which those factors stayed constant while AV lane width changed between the groups, indicating that the significant difference stemmed from the other factors rather than the lane width. However, the trend observed was that drivers driving next to the 12-ft lane had better lane centering compared to the 9ft lane. The analysis also showed that while in general female drivers tended to drive further away from the 9-ft lane and performed worse in terms of lane centering, they performed better than male drivers when right-lane traffic was present. This study contributes to understanding the behavioral impacts of infrastructure adaptation to AVs on non-AV drivers.
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