Kreß, Antonio ; Steinmeyer, Maximilian ; Longard, Lukas Philipp ; Kaiser, Joscha ; Metternich, Joachim (2023)
A product selection method for the configuration of learning factories.
12th Conference on Learning Factories (CLF 2022). Singapore (11.04.2022-13.04.2022)
doi: 10.26083/tuprints-00024355
Conference or Workshop Item, Secondary publication, Publisher's Version
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Item Type: | Conference or Workshop Item |
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Type of entry: | Secondary publication |
Title: | A product selection method for the configuration of learning factories |
Language: | English |
Date: | 25 July 2023 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2022 |
Publisher: | SSRN - Elsevier |
Book Title: | Proceedings of the 12th Conference on Learning Factories (CLF 2022) |
Collation: | 3 Seiten |
Event Title: | 12th Conference on Learning Factories (CLF 2022) |
Event Location: | Singapore |
Event Dates: | 11.04.2022-13.04.2022 |
DOI: | 10.26083/tuprints-00024355 |
Corresponding Links: | |
Origin: | Secondary publication service |
Abstract: | A structured and systematic process plays an important role for the learning factory design. Especially the technical configuration of a learning factory determines its future application possibilities in research, training, and teaching. As part of the technical configuration, the selection of a product that best fits the set objectives is a challenge. This publication presents a method for the selection of products in learning factories. In the method, three successive phases are distinguished: in phase 1, the primary goals of a learning factory are defined and detailed into intended competencies and research targets. Next, in phase 2, the product and production requirements are derived, which are mutually dependent. A distinction is made between mandatory and optional requirements. While, the identified mandatory requirements allow a preselection of possible products, the optional requirements are used to evaluate these preselected products. Based on the preselection, in phase 3 the most suitable product can be identified that best meets the optional requirements. |
Uncontrolled Keywords: | learning factory design, design approach, technical configuration, factory of the future, decision making |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-243554 |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering 600 Technology, medicine, applied sciences > 670 Manufacturing |
Divisions: | 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > CiP Center for industrial Productivity |
Date Deposited: | 25 Jul 2023 13:03 |
Last Modified: | 31 Jul 2024 10:27 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/24355 |
PPN: | 510560822 |
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