Kreß, Antonio ; Metternich, Joachim (2020)
System development for the configuration of learning factories.
In: Procedia Manufacturing, 2020, 45
doi: 10.25534/tuprints-00014280
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
Learning factories represent realistic learning environments for academia and industry in order to develop competencies. The design of learning factories can be facilitated by a configuration system. The configuration of a learning factory describes the selection of factory elements and products. Mathematically this selection can be described by an optimization problem based on a utility function and restrictions. Optimization algorithms facilitate the planning process by selecting the feasible combination of factory elements with the highest utility. This paper describes the methodology to develop a configuration system for learning factories. Customer needs for the configuration system were identified by an explorative stakeholder study: Learning factory developers, operators, and trainers were interviewed with open and partially open questions. These customer needs were then evaluated regarding their importance. The relationship between customer needs and functional requirements is described in a House of quality. To determine the system design systematically, the decomposition principle and the zig-zag process of the Axiomatic Design were applied. Axiomatic Design is a method to design engineering systems including complex systems and software. Consequently, the functional requirements were transformed into design parameters. Design parameters characterize the design of the configuration system.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Kreß, Antonio ; Metternich, Joachim |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | System development for the configuration of learning factories |
| Sprache: | Englisch |
| Publikationsjahr: | 2020 |
| Publikationsdatum der Erstveröffentlichung: | 2020 |
| Verlag: | Elsevier |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Procedia Manufacturing |
| Jahrgang/Volume einer Zeitschrift: | 45 |
| DOI: | 10.25534/tuprints-00014280 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/14280 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | Learning factories represent realistic learning environments for academia and industry in order to develop competencies. The design of learning factories can be facilitated by a configuration system. The configuration of a learning factory describes the selection of factory elements and products. Mathematically this selection can be described by an optimization problem based on a utility function and restrictions. Optimization algorithms facilitate the planning process by selecting the feasible combination of factory elements with the highest utility. This paper describes the methodology to develop a configuration system for learning factories. Customer needs for the configuration system were identified by an explorative stakeholder study: Learning factory developers, operators, and trainers were interviewed with open and partially open questions. These customer needs were then evaluated regarding their importance. The relationship between customer needs and functional requirements is described in a House of quality. To determine the system design systematically, the decomposition principle and the zig-zag process of the Axiomatic Design were applied. Axiomatic Design is a method to design engineering systems including complex systems and software. Consequently, the functional requirements were transformed into design parameters. Design parameters characterize the design of the configuration system. |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-142801 |
| Zusätzliche Informationen: | 10th Conference on Learning Factories, CLF2020 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| 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) > CiP Center für industrielle Produktivität |
| Hinterlegungsdatum: | 30 Nov 2020 14:31 |
| Letzte Änderung: | 08 Dez 2020 06:49 |
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| Suche nach Titel in: | TUfind oder in Google |
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