Decision Making under Uncertainty for Reconfigurable Manufacturing Systems: A framework for uncertainty representation

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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 languageEnglish
Pages (from-to)103-108
Number of pages6
JournalIFAC-PapersOnline
Volume58
Issue number19
DOIs
Publication statusPublished - 2024
Event18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024 - Vienna, Austria
Duration: 28 Aug 202430 Aug 2024

Keywords

  • Bayesian inference
  • Decision making
  • Deep uncertainty
  • Reconfigurable Manufacturing Systems
  • Scenarios
  • Uncertainty

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