Abstract
The implementation of changeable and reconfigurable manufacturing systems and realization of benefits connected to rapid, efficient, and dynamic change of functionality and capacity is key to achieve manufacturing competitiveness. Therefore, this paper proposes a systematic methodology for the design and development of changeable and reconfigurable manufacturing systems, derived from design theory, reconfigurability theory, as well as practical experience. The methodology consists of a concrete course of actions that connects design phases and working steps based on the content of the design task. Furthermore, the paper addresses project-related and contextual aspects of reconfigurability development, which indicates how the proposed methodology should be adapted to the specific company and task at hand. Thus, the proposed methodology is intended for further validation in different types of manufacturing companies that are transitioning towards reconfigurability.
Original language | English |
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Title of host publication | Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings |
Editors | Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero |
Number of pages | 9 |
Publisher | Springer Science+Business Media |
Publication date | 2021 |
Pages | 462-470 |
ISBN (Print) | 9783030859015 |
DOIs | |
Publication status | Published - 2021 |
Event | IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 - Nantes, France Duration: 5 Sept 2021 → 9 Sept 2021 |
Conference
Conference | IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 |
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Country/Territory | France |
City | Nantes |
Period | 05/09/2021 → 09/09/2021 |
Series | I F I P Advances in Information and Communication Technology |
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Volume | 631 IFIP |
ISSN | 1868-4238 |
Bibliographical note
Funding Information:Acknowledgements. The research presented in this paper is funded by the Danish Industry Foundation in connection to the project “Development of Reconfigurable Manufacturing” (REKON).
Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
Keywords
- Changeable manufacturing
- Engineering design
- Manufacturing system
- Reconfigurability
- Reconfigurable manufacturing