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A product selection method for the configuration of learning factories

Kreß, Antonio ; Steinmeyer, Maximilian ; Longard, Lukas ; Kaiser, Joscha ; Metternich, Joachim (2023)
A product selection method for the configuration of learning factories.
12th Conference on Learning Factories (CLF 2022). Singapore (11.-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
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
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.-13.04.2022
DOI: 10.26083/tuprints-00024355
Corresponding Links:
Origin: Secondary publication service

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: 18 Oct 2023 11:50
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/24355
PPN: 510560822
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