Relevant bibliographies by topics / Process Automation and Optimization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Process Automation and Optimization'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Process Automation and Optimization"

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Janik, Dawid. "Optimization of License Management for Business Process Automation with Robotic Process Automation." International Journal of Contemporary Management 60, no. 1 (2024): 280–89. https://doi.org/10.2478/ijcm-2024-0017.

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Abstract Purpose Nowadays automation of business processes is increasing in popularity among organizations. The undeniable benefits, like freeing up the potential and time of well-educated employees so they can focus on more valued activities, are well known. With the growing number of automated processes, optimization of bot usage has become a significant factor in reducing costs. This paper presents an analysis supporting the proper management of business process automation in the context of bots’ license usage. Design The goal of this research is to build a tool that allows for the analysis of license demand and supports automated management of process runs. Findings For the described case, the research estimated the minimum number of bot licenses to ensure that the automated processes would run in a stable manner, and identified the time periods of different license utilization levels. Practical implication The described analysis is a tool for cost optimization of current bot infrastructure. It supports the continuous improvement processes for automated processes run management with balanced levels of license utilization. Value The analysis can be easily adopted for different setups of bot infrastructure to bring about benefits of cost optimization.
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Sachkirat Singh Pardesi. "Integrating Hyper-Automation with RPA and AI for End-to-End Business Process Optimization." Darpan International Research Analysis 12, no. 3 (2024): 199–211. http://dx.doi.org/10.36676/dira.v12.i3.67.

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The combination of Hyper-Automation, Robotic Process Automation (RPA), and Artificial Intelligence (AI) has become a game-changing method for improving business processes from start to finish in the quickly changing field of business technology. The important definitions, foundations, evolution, significance, research gaps, and the need for this study in the contemporary corporate climate will all be covered in detail in this extensive introduction. The use of cutting-edge technology, such as RPA and AI, to automate processes in a way that goes beyond the scope of conventional automation is known as hyper-automation. Hyper-automation is the process of automating any repetitious work that may be done so that businesses can become more efficient, cut expenses, and simplify their operations. The term "robotic process automation," or RPA, describes the use of software "bots" to automate regular and highly repetitive processes that are normally completed by human personnel. Artificial intelligence, or AI, is the study of how computers, especially computer systems, can mimic human cognitive functions including learning, reasoning, and self-correction.
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Mahaboobsubani, Shaik. "Robotic Process Automation for Telecom Billing Optimization." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 2 (2019): 1–9. https://doi.org/10.5281/zenodo.14352186.

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Robotic Process Automation is the new face of the telecom billing system, as it streamlines processes, reduces errors, and increases efficiency. This research investigates early adoption of RPA for the design, implementation, and operational metrics implications of telecom billing. Key findings include significant improvements in accuracy, substantial gains in terms of time saved due to automated workflows taking over repetitive and error-prone tasks performed by humans. Automation would serve to illustrate the potential transformative impact when stacked against traditional billing methods. Integration of systems involves certain complexities and thus breakdown or failure points, which needs to be compensated for through strong design and monitoring frameworks. The present study measures error rates, process automation workflows, and efficiency metrics that have provided great insights into optimizing the telecom billing system with RPA. This emphasizes strategic planning and flexibility to adequately realize the benefits of RPA while mitigating risks associated with dynamic telecom environments
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Silva, Roberto De Carvalho. "AUTOMATION AND OPTIMIZATION OF THE SAP SOFTWARE INSTALLATION PROCESS IN CORPORATE WORKSTATIONS: IMPACTS ON SCALABILITY AND SECURITY." Revista ft 29, no. 145 (2025): 34–35. https://doi.org/10.69849/revistaft/ch10202504040734.

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The automation and optimization of SAP software installation in corporate workstations are critical for enhancing scalability, security, and efficiency. Manual deployment processes are time-consuming, error-prone, and challenging to standardize in large-scale environments. This study explores automation tools such as Ansible, Terraform, and SCCM to streamline SAP deployment, reducing manual intervention and ensuring consistent configurations across multiple devices. The research also highlights the significance of security measures, including system hardening, least privilege policies, and multi-factor authentication, to mitigate potential vulnerabilities. A comprehensive literature review examines recent advancements in SAP deployment automation, emphasizing scalability and security. Studies demonstrate that integrating automation with cloud-based infrastructures improves deployment consistency, while compliance automation frameworks facilitate regulatory adherence. Additionally, AI-driven monitoring solutions enhance system reliability by predicting failures and optimizing resource allocation. The discussion highlights how automation tools significantly reduce deployment time while improving traceability and security. Standardized installation protocols prevent misconfigurations, and centralized deployment management minimizes human errors. Moreover, implementing security best practices safeguards SAP environments against cyber threats, ensuring compliance with regulatory requirements. This study concludes that automating SAP installation is a strategic necessity for organizations seeking operational efficiency, security, and scalability. Future research should explore AI-based automation to further refine installation processes and enhance proactive threat detection. By adopting automation and security best practices, organizations can achieve a more resilient and efficient SAP deployment framework.
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Nisbett, Alex, and Gareth Johnston. "Wireless Technology for Process Automation." Measurement and Control 44, no. 5 (2011): 150–53. http://dx.doi.org/10.1177/002029401104400503.

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Samaranayake, Premaratne. "Business process integration, automation, and optimization in ERP." Business Process Management Journal 15, no. 4 (2009): 504–26. http://dx.doi.org/10.1108/14637150910975516.

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Chinthamu, Narender, Ashish, Victor Emmanuel P, Mathiyalagan P, Syed Zahidur Rashid, and Jothi E. "Robotic Process Automation in Business Processes Streamlining Operations Through Automation Technologies." ITM Web of Conferences 76 (2025): 01005. https://doi.org/10.1051/itmconf/20257601005.

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RPA also known as Robotic Process Automation is revolutionizing the way businesses operate by automating mundane tasks, increasing operational efficiency, and lowering the overall operational cost. Yet, researchers study theoretical benefits prevalent in the State of the Art, without validating them empirically, or studying their impact across industries or in the long term. About the study This study aspires to fill these gaps, offering a data and challenge-driven and scalable framework of RPA adoption. In this study, we incorporate real-world perspectives, AI-supported automation, and process mining methods in the quest for RPA optimization, differing from earlier investigations. RPA long-term return on investment, workforce collaboration, ethical auditing, security challenges and responsibility in automation. We also present a scalable and adaptive RPA framework for SMEs as well as large enterprises. In addition, our research findings prove that AI-enabled RPA increases operational efficiency and helps firms enhance decision-making with the aid of machine learning (ML) and natural language processing (NLP). This study proposes a detailed roadmap for sustainable and intelligent automation in business processes by considering scalability, security, compliance, and workforce integration.
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Gui, Xue, Xiao Yan Zheng, Jian Wei Song, and Xia Peng. "Automation Bridge Design and Structural Optimization." Applied Mechanics and Materials 63-64 (June 2011): 457–60. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.457.

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This paper summarizes the structural optimization applications in civil engineering design and development of the situation based on the characteristics of the bridge structure design process is proposed for the bridge project to the genetic algorithm, neural network, expert system technology as the basis for combining automated design and optimization of structural design of the system; as basic idea, given the structure design of automation system design and optimization of the overall design framework, and prestressed beam design automation is simply an example of structural design and optimization of design automation. Finally, a brief summary of the development process of bridge design software, design automation and optimization that the inevitable trend of development.
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Kazenwadel, Benjamin, Simon Becker, Marina Graf, and Marcus Geimer. "Aligning process quality and efficiency in agricultural soil tillage." at - Automatisierungstechnik 71, no. 11 (2023): 979–86. http://dx.doi.org/10.1515/auto-2023-0042.

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Abstract Automation in agricultural machinery is a crucial driver of productivity and sustainability. Some automation features like automated steering and real-time data analytics are already state-of-the-art. On the other hand, a human driver performs the optimization of the working speed manually, and the automation of this is an ongoing challenge. Process quality and process efficiency are the two main targets in this optimization. Agricultural soil tillage requires achieving both. Therefore, the correlation between process quality optimization and process efficiency is fundamental, and vice versa. The approach presented in this paper shows how the two optimization targets of efficiency and process quality can be optimized and aligned together. Optical sensors determine various parameters to describe and model the process quality. The measured machine state determines the characteristics of the interaction forces between the machine and the environment. A machine learning algorithm describes the relationships in the drivetrain. The two process targets are each predicted for different working speeds and are combined in the form of a boundary target and an optimization target to identify one optimized target speed value.
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Legito. "Examining the Effects of Robotic Process Automation on Operational Efficiency and Business Process Optimization (Literature Study)." West Science Interdisciplinary Studies 1, no. 02 (2023): 84–93. https://doi.org/10.58812/wsis.v1i2.91.

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This research study investigates the influence of Robotic Process Automation (RPA) on operational efficiency and business process optimization. The study adopted a systematic literature review approach to collect and analyze relevant academic articles, industry reports, and conference proceedings. Findings reveal that RPA implementation significantly improves operational efficiency by automating repetitive and rule-based tasks. This automation reduces manual effort, minimizes errors, and speeds up process execution, leading to increased productivity, faster response times, and cost savings for organizations. RPA also contributes to business process optimization by streamlining workflows, eliminating bottlenecks, and standardizing processes. Standardized execution of tasks through RPA improves process efficiency, quality, and visibility, allowing organizations to make data-driven decisions and continuously optimize their operations. However, challenges such as process complexity, employee resistance to change, integration issues, and data security concerns need to be addressed for a successful RPA implementation. Organizations must develop a comprehensive implementation plan, establish a governance framework, and foster a culture of collaboration to overcome these challenges. The practical implications derived from this research offer guidance for organizations that are considering or implementing RPA solutions. Recommendations include conducting a thorough process analysis, developing a comprehensive implementation plan, establishing governance mechanisms, encouraging collaboration, and continuously optimizing processes. While this study provides valuable insights into the impact of RPA on operational efficiency and business process optimization, it acknowledges the limitations of the research, such as the reliance on literature up to September 2021 and the subjectivity of the data analysis.
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Dissertations / Theses on the topic "Process Automation and Optimization"

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Mišková, Lucie. "Automatizace procesu plateb pomocí RPA." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-442962.

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Master thesis focuses on payment process automatization of selected company XY, which will eliminate repetitive manual work and routine and will lead to shortening of the whole process. To reach this solution RPA – Robotic Process Automation was used. RPA was designed based on data analysis, which showed areas of process best suited for automatization. Part of the thesis is also evaluation of impacts of implemented RPA solution.
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Daley, John E. "Autonomic Product Development Process Automation." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/965.

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Market globalization and mass customization requirements are forcing companies towards automation of their product development processes. Many task-specific software solutions provide localized automation. Coordinating these local solutions to automate higher-level processes requires significant software maintenance costs due to the incompatibility of the software tools and the dynamic nature of the product development environment. Current automation methods do not provide the required level of flexibility to operate in this dynamic environment. An autonomic product development process automation strategy is proposed in order to provide a flexible, standardized approach to product development process automation and to significantly reduce the software maintenance costs associated with traditional automation methods. Key elements of the strategy include a formal approach to decompose product development processes into services, a method to describe functional and quality attributes of services, a process modeling algorithm to configure processes composed of services, a method to evaluate process utility based on quality metrics and user preferences, and an implementation that allows a user to instantiate the optimal process. Because the framework allows a user to rapidly reconfigure and select optimal processes as new services are introduced or as requirements change, the framework should reduce burdensome software maintenance costs associated with traditional automation methods and provide a more flexible approach.
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Barchiesi, David. "Design and Development of Control Solutions for Multi-Variable Process Optimization." Doctoral thesis, Università Politecnica delle Marche, 2014. http://hdl.handle.net/11566/242883.

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L’attività di ricerca svolta ha riguardato lo sviluppo e l’implementazione di soluzioni per il controllo e l'ottimizzazione di sistemi interagenti. Gli ambiti applicativi sono stati la Home & Building Automation (HB&A) e l’automazione nell’industria petrolchimica. Riguardo alla H&BA sono state definite politiche di controllo accoppiato termico, illuminotecnico e dell’Indoor Air Quality che risultano, nella loro interconnessione, molto innovative. L’obiettivo perseguito nella progettazione del sistema di controllo è l’ottenimento del massimo risparmio energetico e confort per l’utente. Tramite l’utilizzo sistematico della "cross fertilization" è stato possibile espandere nell’ambito della H&BA le conoscenze acquisite in ambito dell’automazione industriale. In particolare, per lo sviluppo del sistema di controllo sono state sviluppate architetture di controllo basato sull’interconnessione di tecniche PID avanzate. L’approfondimento degli studi ha riguardato il tuning ottimo dei regolatori industriali, la valutazione della stabilità e infine l’aumento delle prestazioni del sistema di controllo stesso. In seguito, si sono analizzate alcune tecniche di controllo multi-variabile. Tramite l’utilizzo di una batteria di modelli, identificati per mezzo di step test sul processo, è stato sviluppato un algoritmo Gain Schedule Model Predictive Control volto al controllo delle variabili di processo e all’ottimizzazione dell’energia necessaria. Altro aspetto affrontato riguarda la modellazione e il controllo di processi di una realtà quale l’api Raffineria di Falconara Marittima,. In particolare, si sono affrontate problematiche di ottimizzazione di una colonna di Visbreaking e di ottimizzazione della combustione di una fornace di preriscaldo. Oltre all’implementazione su sistema DCS sono state studiate e implementate tecniche innovative per il tuning dei controllori e per il raggiungimento delle specifiche richieste. In particolare è stato sviluppato un Discrete Fuzzy Smoother che permette di eliminare l’overshoot nel transitorio.
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Fuerle, Fabian. "Structural optimization in engineering design with a focus on process automation." Thesis, Swansea University, 2010. https://cronfa.swan.ac.uk/Record/cronfa42567.

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The present work is concerned with the advancement of the knowledge of structural optimization in engineering design while focusing on efficient and easy to use ways of setting-up the required automated processes as well as the problems arising from it. Three industry examples are considered. In the first example a software tool that serves as a hands-on decision guidance for many occurring design situations for structured wall PE pipes is developed. In order to avoid licensing fees only public domain software or in-house code are used. It offers the efficient and automated simulation of the ringstiffness test as well as the most common pipe installation scenarios. In addition, an optimization feature is implemented for the design of optimum pipe profiles with regards to the ringstiffness test. In the second example a framework for the optimum design of carbon fibre mountain bike frames is developed. An extensively parameterized and automated simulation model is created that allows for varying tube shapes, paths and laminate ply thicknesses as well as joint locations. For improved efficiency a decomposition approach has been employed that decomposes the original optimization problem into a size optimization sub problem and a shape optimization top level problem. The former is solved by the built-in optimization tool in OptiStruct and the latter by means of surrogate based optimization where each experiment in the DoE is a full size optimization. The third example is concerned with the optimum design of a blade for a novel vertical axis wind turbine. A design approach similar to those with horizontal axes is chosen. The altered design requirements are accounted for by creating a parameterized simulation model and performing size optimization runs for 32 models with different material settings and shear web locations where the model creation process has been automated.
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Spirito, Mario. "Simulation, control and optimization of asphalt drying process." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Il documento presentato punta alla descrizione del lavoro svolto dal DEI in collaborazione con l'azienda Marini-Fayat la quale ha sviluppato un prototipo innovativo per l'essiccazione di asfalti. L'obiettivo di tale collaborazione ha riguardato principalmente attività di studio della letteratura circa il processo di essiccazione degli asfalti, la sua modellazione e il controllo dell'intero impianto rispettandone i vincoli imposti. Il lavoro si svolto nel seguente modo, dopo lo studio della letteratura sull'argomento, due tipologie di modello sono state sviluppate: un "Evaluation model" che divideva l'impianto in sezioni concatenate di lunghezza fissata e voleva descrivere in maniera fine i comportamenti fisici del sistema, a questo si è aggiunto lo sviluppo di un "control model" con l'obiettivo di riportare solo i fenomeni principali di questo processo di essiccazione, portando così a una maggiore leggerezza computazionale. Al fine di testare le azioni di controllo si sono pensati degli esperimento per la stima dei parametri di sistema. Una volta noti tali parametri è stato possibile convalidare l'effettiva funzionalità dei controllori sviluppati sul più leggero e performante "control model" con ottimi risultati.
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Higgins, Stuart James. "Design and Optimization of Post-Combustion CO2 Capture." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/80003.

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This dissertation describes the design and optimization of a CO2-capture unit using aqueous amines to remove of carbon dioxide from the flue gas of a coal-fired power plant. In particular we construct a monolithic model of a carbon capture unit and conduct a rigorous optimization to find the lowest solvent regeneration energy yet reported. Carbon capture is primarily motivated by environmental concerns. The goal of our work is to help make carbon capture and storage (CCS) a more efficient for the sort of universal deployment called for by the Intergovernmental Panel on Climate Change (IPCC) to stabilize anthropomorphic contributions to climate change, though there are commercial applications such as enhanced oil recovery (EOR). We employ the latest simulation tools from Aspen Tech to rigorously model, design, and optimize acid gas systems. We extend this modeling approach to leverage Aspen Plus in the .NET framework through Microsoft's Component Object Model (COM). Our work successfully increases the efficiency of acid gas capture. We report a result optimally implementing multiple energy-saving schemes to reach a thermal regeneration energy of 1.67 GJ/tonne. By contrast, the IPCC had reported that leading technologies range from 2.7 to 3.3 GJ/tonne in 2005. Our work has received significant endorsement for industrial implementation by the senior management from the world's second largest chemical corporation, Sinopec, as being the most efficient technology known today.<br>Ph. D.
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Brada, Jan. "Aplikace nástrojů řízení a automatizace administrativních procesů." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2008. http://www.nusl.cz/ntk/nusl-221799.

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Continual raise of data and information amount requires more sophisticated methods and procedures for their processing. The complexity of information systems and their specialized components increases with the volume of processed data. Applications for business process management support and for capacity and efficiency improving have formed a few basic categories for that this terminology becomes common: Business Process Management, Enterprise Content Management and Document Management System. These systems are known in commercial sphere and also in civil service and is used in many corporations. Diploma thesis focuses on the discovery of real situation how these systems are used at universities where they are applied very slowly. The aim of the thesis is to formulate recommendation for implementation of these systems in environment of The Brno University of Technology as a project study.
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Gavrell, Cecilia, and Ludvig Reuterswärd. "An Automated Process for Concrete Reinforcement Layout Design." Thesis, KTH, Bro- och stålbyggnad, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231263.

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As many tasks considering structural design in civil engineering become digitalised, the possibility of creating a more effective workflow increases. The development of computer programs that can handle large amounts of data and assist the decision making during design process increases the requirement of the data management to fully utilize the potential of a digital workflow. The design of reinforcement layout of concrete structures is time demanding and often performed manually. These characteristics of a workflow indicates that it may be suitable to be subject to automation. The aim of this thesis is to highlight the potential and the difficulties of using automated design procedures in civil engineering with focus on reinforcement layout design. Specifically, the selection of straight rebars and their placement within concrete structures has been studied with respect to buildability and the amount of reinforcement used. A computer program has been developed to select rebar diameters and arrangement, satisfying the required amount of reinforcement as well as some of the rules according to the Eurocode standard. In order to find feasible solutions, an optimization of the amount of reinforcement as well as different measures of buildability is performed, using a genetic algorithm. The result from two case studies showed that the program managed to perform tasks similar to an engineer and create design solutions which reduced the amount of reinforcement and the number of rebar types. Furthermore, it was shown that consideration to the identified buildability parameters played an important role in finding an optimal solution. The findings indicate that the design of reinforcement layout may be automated and that a more effective workflow can be achieved.<br>I takt med att fler delar av projekteringen av anläggningskonstruktioner blir digitaliserade ökar möjligheterna för att effektivisera arbetet. Utvecklandet av datorprogram som kan hantera mycket information och ge stöd till beslutsfattande ställer också krav på hanterandet av denna data för att utnyttja den fulla potentialen av ett digitaliserat arbetsflöde. Arbetsprocessen vid armering av betongkonstruktioner är tidskrävande och utförs idag ofta helt eller delvis för hand. Sådana processer bär karaktärsdrag som tyder på att de är lämpade för automatisering. Målet med studien är att undersöka problematiken kring att automatisera arbetsprocesser vid projektering av anläggningskonstruktioner med inriktning på armering av betongkonstruktioner. Specifikt, så har valet av raka armeringsjärn och dess placering i betongkonstruktioner studerats med avseende på byggbarhet och armeringsmängder. Ett datorprogram har utvecklats för att välja armeringsjärn och dess placering för ett givet behov och ett antal krav som ställs enligt Eurokod. För att hitta en möjlig lösning är problemet formulerat som en optimering av armeringsmängd och olika mått på byggbarhet. Optimeringen genomfördes med en genetisk algoritm. Resultatet från två fallstudier visar att programmet lyckades genomföra konstruktörens arbetsuppgifter och skapa lösningar som minskade mängden använd armering och antalet olika typer av armeringsjärn samtidigt som de identifierade måtten på byggbarhet främjades. Vidare visade resultatet att de identifierade byggbarhetsparametrarna spelade en viktig roll för att finna en optimal lösning. Detta indikerar att det är möjligt att automatisera denna process och att ett effektivare arbetsflöde kan erhållas.
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Jonsson, Emelie, and Birkir Pálsson. "Optimization of the sorting process in PVC-floor recycling : Scenarios to optimize economic and environmental aspects of the upscaling sorting process." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21857.

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Background: The industrial economy has been dominated by a one-way production and consumption model. Closing loops for materials has seen an upswing in popularity. The focus though has been on the environmental aspects instead of the economic benefits from implementing closed loops. With an increasing PVC consumption, the interest of implementing a closed loop of material management is increasing. PVC is a highly desired thermoplastic material because of its low cost and high performance. The high performance of PVC causes the materials to have a long lifetime which delays the end-of-life waste management. The option to utilize landfilling to deal with the accumulating waste has become a less acceptable option because of higher costs, environmental dangers, and decreasing availability of landfilling areas. When recycling PVC, it is important to ensure a high accuracy within the sorting process. A lower purity in the recycling process could lead to a lower quality of the material. With the increasing worldwide demand for PVC, which exceeds 35 million metric tons per year, the demand for a robust waste material management is high. Objectives: The objective with this master thesis is to provide a deeper understanding of the affects of introducing a closed loop of material management of PVC by optimizing the upscaling sorting process based on a maximization of the savings and the CO2 emission savings. Methods: An optimization model was developed based on previous literature regarding optimizing sorting processes and recycling processes. Different scenarios were set up to try to optimize the savings and CO2 emission savings for an upscaling sorting process of PVC. The scenarios were based on different changes in different variables. The model and the scenarios were implemented at a case study. The case study was made at the PVC-floor company Tarkett in Ronneby. Results: The different scenarios were compared based on their monthly savings and monthly CO2 emission savings. The results showed that when dealing with a larger volume of incomed material, a more capital-intensive solution should be implemented. It also showed that an upscaling of a sorting process in PVC-floor recycling can be financially feasible while implementing a closed loop of material management. Conclusions: The recent trend in waste material management indicates that many companies are implementing a closed loop of material management through capital-intensive sorting process to manage the increasing availability of waste. The comparisons of the different scenarios revealed that, if the monthly savings is to be optimized, there should be an increase in incomed material and the sorting process should implement a more capital-intensive solution utilizing automated sorting machines. If the monthly CO2 emission savings should be maximized, the incomed material should be maximized and handled by a labor-intensive solution.<br>Bakgrund: Den industriella ekonomin har dominerats av en enkelriktad produktions- och konsumtionsmodell. Att sluta kretar för material har fått en uppgång i popularitet. Fokus har dock varit på miljöaspekterna istället för de ekonomiska fördelarna med att genomföra slutna kretsar. Med en ökande PVC-konsumtion ökar intresset för att genomföra en sluten krets för materialhantering av PVC. PVC är ett mycket önskat termoplastmaterial på grund av dess låga kostnad och höga prestanda. PVC: s höga prestanda gör att materialen har en lång livslängd som försenar avfallshanteringen. Alternativet att använda deponi för att hantera det ackumulerande avfallet har blivit ett mindre acceptabelt alternativ på grund av högre kostnader, miljöfaror och minskad tillgänglighet av deponiområden. Vid återvinning av PVC är det viktigt att säkerställa hög noggrannhet inom sorteringsprocessen. En lägre noggrannhet i återvinningsprocessen kan leda till en lägre kvalitet på materialet. Med den ökande världsomspännande efterfrågan på PVC, som överstiger 35 miljoner ton per år, är efterfrågan på en robust hantering av avfallsmaterial hög. Syfte: Målet med detta examensarbete är att ge en djupare förståelse för effekterna av att införa en sluten krets för materialhantering av PVC genom att optimera uppskalning av sorteringsprocessen baserat på maximering av besparingar och CO2 utsläppsbesparingar. Metod: En optimeringsmodell utvecklades baserat på tidigare litteratur om optimering av sorteringsprocesser och återvinningsprocesser. Olika scenarier inrättades för att försöka optimera besparingarna och CO2-utsläppsbesparingarna för en uppskalning av sortering av PVC. Scenarierna baserades på olika förändringar i olika variabler. Modellen och scenarierna implementerades på en fallstudie. Fallstudien gjordes på PVC-golvföretaget Tarkett i Ronneby. Resultat: De olika scenarierna jämfördes baserat på deras månatliga besparingar och månatliga CO2-utsläppsbesparingar. Resultaten visade att när man hanterar en större volym inkommande material, bör en mer kapitalintensiv lösning implementeras. Det visade också att en uppskalning av en sorteringsprocess vid PVC- golvåtervinning kan vara ekonomiskt genomförbar samtidigt som en sluten krets av materialhantering genomförs. Slutsatser: Den senaste trenden inom hantering av avfallsmaterial tyder på att iiimånga företag genomför en sluten krets för materialhantering genom kapitalintensiv sorteringsprocess för att hantera den ökande tillgången på avfall. Jämförelserna mellan de olika scenarierna visade att om de månatliga besparingarna ska optimeras, bör det finnas en ökning av inkommande material och sorteringsprocessen bör implementera en mer kapitalintensiv lösning med automatiska sorteringsmaskiner.
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Betshammar, Jan. "Improved Billet Shape Modeling in Optimization of the Hot Rod and Wire Rolling Process." Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7914.

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<p>The hot rod and wire rolling process is widely used to produce rolled iron alloys in different shapes and dimensions. This industry has been under a constant development during the last decades. Today, complex geometries are produced at a high speed since it is possible to use several stands in each mill at the same time. A reason for the development is rising demands from customers. The most important demands are to save energy, to get better material properties and higher dimension accuracy. To meet these demands on speed and accuracy, a better control of how the material behaves in the process is needed. There is also a need to be able to quickly find a new setup of the mill in order to be able to produce other geometries.</p><p>The purpose with this Master Thesis is to model and simulate the hot rod and wire rolling process with the modeling language Modelica. The model is given the known inputs and the desired final result in order to compute the unknown inputs to the mill. To meet these goals, a model that depends on for example the gap between the rolls, the roll speeds and the tensions between different stands is needed. It should be possible to make simulations to find roll speeds or to calculate the tensions caused by known roll speeds.</p><p>With the help of models of the steps in the process, a model has been developed in Modelica. The model can be expanded to a mill with an arbitrary number of stands. In the search for the best way of modeling a hot rod and wire rolling mill, several algorithms have been simulated and analyzed in Modelica. The results from all simulations show that the billet and the groove should be described by different functions for the upper and the lower half. Furthermore, it is not a good solution to use only polynomials to describe the shapes in the process. A function with infinite derivative in the endpoints is needed to describe the billet in an acceptable way. The problem has also been solved using Matlab. In this work it is shown that the Modelica solution is preferred, compared to solving the optimization problems in Matlab. An advantage with the Modelica solution is that the model can be split into several easily connected sub models. Unfortunately it was even hard for Modelica to solve general problems. The describing functions made it hard to find the intersections and to keep the area constant during the rotation. The least square method could lead to bad approximations of the shapes.</p><br><p>Profilvalsning används idag globalt som en process för att tillverka metaller i olika former och har under de senaste årtiondena varit i en lång utvecklingsfas. Numera valsas komplicerade geometrier samtidigt som produktiviteten har ökat drastiskt tack vare möjligheten att valsa med flera valspar samtidigt. Under utvecklingsprocessen har även kraven från kunderna ökat, främst vad gäller energibesparing och noggrannhet på den slutgiltiga produktens dimensioner och materialegenskaper. För att kunna möta dessa krav på snabbhet och noggrannhet krävs större kontroll av hur materialet beter sig i valsningsprocessen och att det snabbt går att bestämma hur valsverket ska ställas in när en ny serie ska tillverkas.</p><p>Syftet med examensarbetet som redovisas i denna rapport är främst att modellera och simulera profilvalsningsprocessen med modelleringsspråket Modelica. Modellen ska sedan kunna användas för att utifrån givna indata till processen bestämma olika inparametrar till valsverket för att uppnå önskat slutresultat. För att nå dessa mål krävs en modell som bland annat beror på spelet mellan valsarna, valshastigheterna och dragen mellan olika valspar. Simuleringar ska kunna göras för att både bestämma önskade valshastigheter och för att beräkna vilka drag givna valshastigheter ger upphov till i valsverket.</p><p>Med hjälp av modeller och beskrivningar av de olika stegen i valsningsprocessen har en modell tagits fram i Modelica. Modellen har en given inprofil och kan sedan byggas ut till ett valsverk med önskat antal valspar. I Modelica har olika modeller och algoritmer simulerats och analyserats för att kunna svara på hur ett profilvalsverk modelleras på bästa sätt. Resultaten från de olika simuleringarna visar att heta och valsspår bör beskrivas med olika funktioner för den övre och för den undre delen av profilen. Det är ingen bra lösning att endast använda polynom för att beskriva de olika formerna. En basfunktion med oändlig derivata i ändpunkterna är nödvändig för att beskriva hetan på ett bra sätt. En fördel med Modelica är även att modellen enkelt kan delas upp i flera enkelt sammankopplade delmodeller. Tyvärr var det svårt även för Modelica att lösa generella problem. Funktionerna som användes för att beskriva de olika formerna gjorde det svårt att hitta skärningspunkter och att hålla arean konstant under rotationen. Minsta kvadratmetoden resulterade ibland i dåliga approximationer av de olika formerna.</p>
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Books on the topic "Process Automation and Optimization"

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M, Colosimo Bianca, and Del Castillo Enrique, eds. Bayesian process monitoring, control and optimization. Chapman and Hall/CRC, 2007.

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J, Swetits John, and United States. National Aeronautics and Space Administration., eds. Automation of reverse engineering process in aircraft modeling and related optimization problems: Progress report for the period ended December 1994. Old Dominion Research Foundation, 1994.

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Castillo, Enrique Del. Process Optimization. Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-71435-6.

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Christie, Alan M. Software Process Automation. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79252-6.

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Taulli, Tom. Robotic Process Automation. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6139-2.

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Rosenof, Howard P., and Asish Ghosh. Batch Process Automation. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-6641-6.

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Scheer, August-Wilhelm, Ferri Abolhassan, Wolfram Jost, and Mathias Kirchmer, eds. Business Process Automation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24702-9.

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Koch, Christina, and Stephen Fedtke. Robotic Process Automation. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-61178-4.

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Liu, Shu-Jun. Stochastic Averaging and Stochastic Extremum Seeking. Springer London, 2012.

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Hofstede, Arthur H. M., Wil M. P. Aalst, Michael Adams, and Nick Russell, eds. Modern Business Process Automation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03121-2.

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Book chapters on the topic "Process Automation and Optimization"

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Tomar, Praveen, and Veena Grover. "Robotic Process Automation." In Intelligent Computing and Optimization for Sustainable Development. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781032625829-14.

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Wu, Kai, Ji Yang, Wei Zhang, et al. "Multi-objective Optimization of Sheet Structure in Threshing Process." In Advanced Manufacturing and Automation XIII. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0665-5_79.

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Ghosh, S., B. Acherjee, and A. S. Kuar. "Application of Grey Wolf Optimizer Algorithm in Electrochemical Machining Process Optimization." In Industrial Automation and Robotics. CRC Press, 2022. http://dx.doi.org/10.1201/9781003121640-5.

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Bian, Xuefen. "Application of Robotic Process Automation (RPA) in Computer Accounting Process Optimization." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-8003-0_20.

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Wen, Jibin, and Yayu Huang. "Optimization of Pneumatic Separating Process Parameters Based on BP Neural Network." In Advanced Manufacturing and Automation XII. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9338-1_91.

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Kumar, Sandeep, and Abhishek Singh. "Optimization of CNC Green Milling Process Parameters: An Integrated MCDM Approach." In Advances in Forming, Machining and Automation. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3866-5_30.

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Luo, Hao. "Basics of Process Monitoring Techniques." In Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15928-3_2.

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Impedovo, Angelo, Emanuele Pio Barracchia, and Giuseppe Rizzo. "Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms." In Machine Learning, Optimization, and Data Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25599-1_12.

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Luo, Hao. "PnP Process Monitoring and Control Architecture." In Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15928-3_4.

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Rajendra, Khavekar, Hari Vasudevan, and Gosar Vimal. "Optimization of Injection Moulding Process Parameters Using Response Surface Methodology." In Proceedings of International Conference on Intelligent Manufacturing and Automation. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2490-1_40.

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Conference papers on the topic "Process Automation and Optimization"

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Kumar, Gireesh, Ujjwal Solanki, and Richa Sharma. "Automation of Alumni Directory using Robotic Process Automation: An Application." In 2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO). IEEE, 2024. http://dx.doi.org/10.1109/iccmso61761.2024.00041.

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Liu, Yanhui, and Jun Fu. "Path-Constrained Dynamic Optimization of Rougher Flotation Process." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10865110.

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Antipina, Evgenia, Svetlana Mustafina, and Andrev Antipin. "Optimization of Ethylene Oligomerization Process Based on Genetic Algorithms." In 2024 International Russian Automation Conference (RusAutoCon). IEEE, 2024. http://dx.doi.org/10.1109/rusautocon61949.2024.10693952.

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Chen, Geng, Zihao Fan, and Ting Yang. "Exploration of Machine Learning Techniques in AI-Driven Automation Process Optimization." In 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology (ICCASIT). IEEE, 2024. https://doi.org/10.1109/iccasit62299.2024.10827935.

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Peralta Abadía, José Joaquín, Felix Larrinaga Barrenechea, Mikel Cuesta Zabaljauregui, et al. "OptiTwin: Data-Driven Machining Process Optimization Platform for SMEs." In 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2024. http://dx.doi.org/10.1109/etfa61755.2024.10711032.

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Ono, Seiya, Jin-Ung Ha, Hyun-Woo Kim, Myungjin Cho, and Min-Chul Lee. "A research on optimization of fog estimation process in Peplography." In 2024 24th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2024. https://doi.org/10.23919/iccas63016.2024.10773281.

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Pantić, Marko, Mladen Đurić, and Jelena Ruso. "Quality improvement based on optimization and automation of business processes." In 36th International Congress on process engineering. SMEITS, 2023. http://dx.doi.org/10.24094/ptk.023.355.

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Companies that deliver products and services do not usually have a clear picture of the processes within the company itself. Such an approach leads to a situation in which the company's growth is limited and the possibility of non-compliance increases significantly. In addition, a large number of organizations function without any sector, department, or at least an employee dealing with processes and management systems as a whole. The cause of such a phenomenon is an underdeveloped awareness of process management and the concept of quality as a company's primary activity. Therefore, in this paper, an analysis will be performed to show the impact of optimization and automation of business processes on quality improvement. Then, by reviewing the literature, an operational model will be generated to determine its impact on increasing the speed of business processes and reducing variations, process errors, and business costs.
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Wangyun Won, Kwang Soon Lee, and Seungtaek Seo. "Online optimization of CATOFIN process." In 2007 International Conference on Control, Automation and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iccas.2007.4406917.

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Goyal, Nitin, and Harpreet Singh. "Process Automation techniques in Hospitality Industry." In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2021. http://dx.doi.org/10.1109/icrito51393.2021.9596303.

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Min Han Kim and Chang Kyoo Yoo. "A systematic process optimization method for advanced environmental process." In 2008 International Conference on Control, Automation and Systems (ICCAS). IEEE, 2008. http://dx.doi.org/10.1109/iccas.2008.4694296.

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Reports on the topic "Process Automation and Optimization"

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Tong, Andrew. Advanced Control Architecture and Sensor Information Development for Process Automation, Optimization, and Imaging of Chemical Looping Systems. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1474439.

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Matus, Sean, and Daniel Gambill. Automation of gridded HEC-HMS model development using Python : initial condition testing and calibration applications. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46126.

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The US Army Corps of Engineers’s (USACE) Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) rainfall-runoff model is widely used within the research community to develop both event-based and continuous rainfall-runoff models. The soil moisture accounting (SMA) algorithm is commonly used for long-term simulations. Depending on the final model setup, 12 to 18 parameters are needed to characterize the modeled watershed’s canopy, surface, soil, and routing processes, all of which are potential calibration parameters. HEC-HMS includes optimization tools to facilitate model calibration, but only initial conditions (ICs) can be calibrated when using the gridded SMA algorithm. Calibrating a continuous SMA HEC-HMS model is an iterative process that can require hundreds of simulations, a time intensive process requiring automation. HEC-HMS is written in Java and is predominantly run through a graphical user interface (GUI). As such, conducting a long-term gridded SMA calibration is infeasible using the GUI. USACE Construction Engineering Research Laboratory (CERL) has written a workflow that utilizes the existing Jython application programming interface (API) to batch run HEC-HMS simulations with Python. The workflow allows for gridded SMA HEC-HMS model sensitivity and calibration analyses to be conducted in a timely manner.
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Christie, A., L. Levine, E. Morris, D. Zubrow, and T. Belton. Software Process Automation: Experiences from the Trenches. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada310916.

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Zhong, Mohan. Robotic Process Automation: Concepts, Adoption and Research. Iowa State University, 2024. http://dx.doi.org/10.31274/cc-20240624-1242.

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Nowlan, M. J., J. M. Murach, T. W. McCormick, E. R. Lewis, and S. J. Hogan. Post-Lamination Manufacturing Process Automation for Photovoltaic Modules. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/12210.

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Plasencia, Monica, Elizabeth K. Wheeler, Monica Lizet Moya, and Karen Ruth Dublin. BioPuSL: Material & Process Optimization. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1491966.

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Alptekin, Gokhan. Oxy-Combustion System Process Optimization. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1752969.

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Bonomolo, Marina, and Michael Strobel. Building and process optimization potential. IEA SHC Task 65, 2023. http://dx.doi.org/10.18777/ieashc-task65-2023-0003.

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This document is the final report on activity A4 “Building and process optimization” of the IEA SHC Task 65 “Solar Cooling for the Sunbelt regions”. It presents an overview on the relevance of building and process optimization..Several ongoing and completed projects are introduced and results are depicted. In particular, information about completed and running research projects are presented in order to quantify the amount of energy used for cooling systems. Furthermore, main projects related to the IEA EBC (Buildings and Communities Programme) about cooling systems are reported.
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Garrett, Jr, M. Wastewater treatment process energy optimization. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/5816061.

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Whitford, Robert, and David Moffett. Automation of Overweight Truck Permit Process for Michigan Trains. Purdue University, 1996. http://dx.doi.org/10.5703/1288284313151.

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