Grosch, Benedikt Emanuel (2023)
Simplified Implementation of Energy-Aware Production Scheduling in Job Shops.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00026459
Dissertation, Erstveröffentlichung, Verlagsversion
Kurzbeschreibung (Abstract)
Climate change presents a pressing global challenge, necessitating urgent actions to reduce greenhouse gas emissions and limit global warming. As a significant energy consumer, the industrial sector plays a crucial role in advancing sustainable practices and mitigating the impact of climate change. In this context, this thesis focuses on developing an implementation procedure and an energy-aware production scheduling system architecture to optimize production schedules while considering production-related and energy-related objectives.
The research goal of this thesis is to simplify the implementation of energy-aware production scheduling systems in real production systems. To achieve this, the thesis addresses three key research areas: (1) to find whether the absence of standardized procedures and architectures hinders the implementation of energy-aware production scheduling systems for job shops, (2) to propose a standardized and partially automated implementation procedure for energy-aware production scheduling, and (3) to design an architecture supporting the implementation procedure.
The proposed implementation procedure includes a structured system configuration and deployment approach, ensuring alignment with stakeholder requirements. It comprises three phases: discovery and planning, development and configuration, and testing and deployment. The energy-aware production scheduling system architecture implements a cyber-physical production system with a virtual representation of the actual production system. The architecture incorporates the Non-Dominated Sorting Genetic Algorithm-II optimization algorithm with a graph-based solution encoding and the production system environment, which adapts to specific production system requirements. An energy model parameter estimation module supports the automatic configuration of production machine energy models.
Evaluation of the proposed concepts in the ETA Research Factory demonstrates the system’s success in reducing energy consumption while maintaining production-related objectives. The energy-aware production scheduling system achieves average energy cost savings of 13 % and 18 % compared to traditional Shortest Processing Time dispatching rules while slightly improving or marginally decreasing production-related performance, respectively.
This thesis contributes to the field of energy-aware production scheduling by providing an implementation procedure and an adaptable architecture that fulfills the set requirements and success criteria. The proposed concepts offer practical solutions for adopting energy-aware production scheduling systems in industrial settings, promoting environmentally conscious and economically viable production practices. The thesis also identifies areas for improvement and future research, ensuring the continuous development of energy-efficient and sustainable manufacturing processes.
Typ des Eintrags: | Dissertation | ||||
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Erschienen: | 2023 | ||||
Autor(en): | Grosch, Benedikt Emanuel | ||||
Art des Eintrags: | Erstveröffentlichung | ||||
Titel: | Simplified Implementation of Energy-Aware Production Scheduling in Job Shops | ||||
Sprache: | Englisch | ||||
Referenten: | Weigold, Prof. Dr. Matthias ; Glock, Prof. Dr. Christoph | ||||
Publikationsjahr: | 20 Dezember 2023 | ||||
Ort: | Darmstadt | ||||
Kollation: | XVIII, 214 Seiten | ||||
Datum der mündlichen Prüfung: | 21 November 2023 | ||||
DOI: | 10.26083/tuprints-00026459 | ||||
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/26459 | ||||
Zugehörige Links: | |||||
Kurzbeschreibung (Abstract): | Climate change presents a pressing global challenge, necessitating urgent actions to reduce greenhouse gas emissions and limit global warming. As a significant energy consumer, the industrial sector plays a crucial role in advancing sustainable practices and mitigating the impact of climate change. In this context, this thesis focuses on developing an implementation procedure and an energy-aware production scheduling system architecture to optimize production schedules while considering production-related and energy-related objectives. The research goal of this thesis is to simplify the implementation of energy-aware production scheduling systems in real production systems. To achieve this, the thesis addresses three key research areas: (1) to find whether the absence of standardized procedures and architectures hinders the implementation of energy-aware production scheduling systems for job shops, (2) to propose a standardized and partially automated implementation procedure for energy-aware production scheduling, and (3) to design an architecture supporting the implementation procedure. The proposed implementation procedure includes a structured system configuration and deployment approach, ensuring alignment with stakeholder requirements. It comprises three phases: discovery and planning, development and configuration, and testing and deployment. The energy-aware production scheduling system architecture implements a cyber-physical production system with a virtual representation of the actual production system. The architecture incorporates the Non-Dominated Sorting Genetic Algorithm-II optimization algorithm with a graph-based solution encoding and the production system environment, which adapts to specific production system requirements. An energy model parameter estimation module supports the automatic configuration of production machine energy models. Evaluation of the proposed concepts in the ETA Research Factory demonstrates the system’s success in reducing energy consumption while maintaining production-related objectives. The energy-aware production scheduling system achieves average energy cost savings of 13 % and 18 % compared to traditional Shortest Processing Time dispatching rules while slightly improving or marginally decreasing production-related performance, respectively. This thesis contributes to the field of energy-aware production scheduling by providing an implementation procedure and an adaptable architecture that fulfills the set requirements and success criteria. The proposed concepts offer practical solutions for adopting energy-aware production scheduling systems in industrial settings, promoting environmentally conscious and economically viable production practices. The thesis also identifies areas for improvement and future research, ensuring the continuous development of energy-efficient and sustainable manufacturing processes. |
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Alternatives oder übersetztes Abstract: |
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Freie Schlagworte: | Demand Response, Energy-Efficiency, Energy-Flexibility, Cyber-Physical Production System, Production Machine Energy Model, Implementation Procedure, Scheduling System Architecture | ||||
Status: | Verlagsversion | ||||
URN: | urn:nbn:de:tuda-tuprints-264591 | ||||
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau 600 Technik, Medizin, angewandte Wissenschaften > 650 Management 600 Technik, Medizin, angewandte Wissenschaften > 670 Industrielle und handwerkliche Fertigung |
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Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > ETA Energietechnologien und Anwendungen in der Produktion |
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Hinterlegungsdatum: | 20 Dez 2023 13:41 | ||||
Letzte Änderung: | 22 Dez 2023 09:51 | ||||
PPN: | |||||
Referenten: | Weigold, Prof. Dr. Matthias ; Glock, Prof. Dr. Christoph | ||||
Datum der mündlichen Prüfung / Verteidigung / mdl. Prüfung: | 21 November 2023 | ||||
Zugehörige Links: | |||||
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