Abstract
Traditional manufacturing paradigms cannot deal with the current pace of uncertain events in demand, supply and beyond. Reconfigurable Manufacturing Systems (RMS) are designed to adapt to these challenges in a rapid and cost-effective way. In order to decide when and how to reconfigure an RMS, it is necessary to identify the external events which trigger change in the system. This paper proposes a framework for uncertainty representation in RMS based on three levels of uncertainty and decision horizons. An illustrative example shows how such framework can be used by researchers and practitioners to better understand RMS and its context.
Original language | English |
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Pages (from-to) | 103-108 |
Number of pages | 6 |
Journal | IFAC-PapersOnline |
Volume | 58 |
Issue number | 19 |
DOIs | |
Publication status | Published - 2024 |
Event | 18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024 - Vienna, Austria Duration: 28 Aug 2024 → 30 Aug 2024 |
Keywords
- Bayesian inference
- Decision making
- Deep uncertainty
- Reconfigurable Manufacturing Systems
- Scenarios
- Uncertainty