Kreß, Antonio ; Metternich, Joachim (2023)
Procedure for the configuration of learning factories: Application in industry and comparison.
12th Conference on Learning Factories (CLF 2022). Singapore (11.-13.04.2022)
doi: 10.26083/tuprints-00024354
Konferenzveröffentlichung, Zweitveröffentlichung, Verlagsversion
Kurzbeschreibung (Abstract)
During the design of learning factories, the configuration of the technical system plays an important role. The selection of factory elements for learning factories usually takes place based on intuition. Intuitive selection has the disadvantage that the best possible selection is only achieved by chance. In this paper, a method is presented that is based on solving an optimisation problem, which ensures the best possible selection of factory elements considering a target function with restrictions like the budget or the usable area. For this purpose, four steps are distinguished: First, requirements for the technical configuration are derived from the primary goals of the learning factory (step I). Then, factory areas and configuration alternatives containing a combination of factory elements are derived from the products and processes (step II). The utility values of the potential configuration alternatives are determined based on an evaluation method (step III). Subsequently, the best possible combination of configuration alternatives is determined algorithmically by solving an optimisation problem (step IV). This procedure extends the design approach of Abele et al. (2019). It is applied to a learning factory for a company in the mobility industry to evaluate its superiority to an intuitive approach.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Kreß, Antonio ; Metternich, Joachim |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Procedure for the configuration of learning factories: Application in industry and comparison |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | Darmstadt |
| Verlag: | SSRN - Elsevier |
| Buchtitel: | Proceedings of the 12th Conference on Learning Factories (CLF 2022) |
| Kollation: | 6 Seiten |
| Veranstaltungstitel: | 12th Conference on Learning Factories (CLF 2022) |
| Veranstaltungsort: | Singapore |
| Veranstaltungsdatum: | 11.-13.04.2022 |
| DOI: | 10.26083/tuprints-00024354 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/24354 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | During the design of learning factories, the configuration of the technical system plays an important role. The selection of factory elements for learning factories usually takes place based on intuition. Intuitive selection has the disadvantage that the best possible selection is only achieved by chance. In this paper, a method is presented that is based on solving an optimisation problem, which ensures the best possible selection of factory elements considering a target function with restrictions like the budget or the usable area. For this purpose, four steps are distinguished: First, requirements for the technical configuration are derived from the primary goals of the learning factory (step I). Then, factory areas and configuration alternatives containing a combination of factory elements are derived from the products and processes (step II). The utility values of the potential configuration alternatives are determined based on an evaluation method (step III). Subsequently, the best possible combination of configuration alternatives is determined algorithmically by solving an optimisation problem (step IV). This procedure extends the design approach of Abele et al. (2019). It is applied to a learning factory for a company in the mobility industry to evaluate its superiority to an intuitive approach. |
| Freie Schlagworte: | learning factory design, design approach, optimisation, decision making |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-243544 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau 600 Technik, Medizin, angewandte Wissenschaften > 670 Industrielle und handwerkliche Fertigung |
| 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: | 25 Jul 2023 13:00 |
| Letzte Änderung: | 26 Jul 2023 05:37 |
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