A systematic approach for supporting the adaptation process of discrete manufacturing machines
Publication date
2018
Document type
Research article
Author
Organisational unit
Publisher
Springer Nature
Series or journal
Research in Engineering Design
Periodical volume
29
Periodical issue
4
First page
621
Last page
641
Peer-reviewed
✅
Part of the university bibliography
✅
Language
English
Keyword
Assistance Concept
Discrete Manufacturing
Manufacturing Flexibility
Abstract
Automated manufacturing machines in the discrete manufacturing domain frequently face changes in requirements, such as volatile customer demands or changes in product variants. Due to this, machines need to become more flexible to cope with these changing conditions. Therefore, manufacturing machines have to undergo adaptation processes during their operational phase. The adaptation processes might include mechanical, electrical, and software changes. In industrial practice, experts individually perform these adaptation processes without methodological support, which is time-consuming and highly error-prone. This article proposes a systematic approach for supporting the different phases of the adaptation process. The producibility check of a production request based on a suitable skill model of the system is addressed as well as the automatic generation of adaptation options. Furthermore, the article provides concepts for analyzing the impact, effort and benefit of the generated adaptation options. Additionally, a multi agent architecture is presented for the implementation of the proposed adaptation approaches. The entire assistance concept was applied to a lab-size production machine to validate the applicability of the approach. © 2018, Springer-Verlag London Ltd., part of Springer Nature.
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