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A Multi-Criteria Decision Framework Considering Different Levels of Decision-Maker Involvement to Reconfigure Manufacturing Systems

1
Department of Industrial Engineering, King Saud University, 11400 Riyadh, Saudi Arabia
2
Ecole Centrale Casablanca, Bouskoura Ville Verte, 27182 Casablanca, Morocco
*
Author to whom correspondence should be addressed.
Machines 2020, 8(1), 8; https://doi.org/10.3390/machines8010008
Received: 11 January 2020 / Revised: 14 February 2020 / Accepted: 19 February 2020 / Published: 21 February 2020
Reconfigurable Manufacturing Systems (RMSs) rely on a set of technologies to quickly adapt the manufacturing system capacity and/or functionality to meet unexpected disturbances, such as fluctuation/uncertainty of demand and/or unavailability/unreliability of resources. At the operational stage, such disturbances raise new production requirements and risks, which call upon Decision-Makers (DMs) to analyze the opportunity to move from a running configuration to another more competitive one. Such a decision is generally based on an evaluation of a multitude of criteria, and several multi-criteria decision-making (MCDM) approaches have been suggested to help DMs with the reconfiguration process. Most existing MCDM approaches require some assignment of weights to the criteria, which is not a trivial task. Unfortunately, existing studies on MCDM for an RMS have not provided guidelines to weigh the evaluation criteria. This article fills in this gap by offering a framework to set up such weights. We provide a comprehensive set of quantitative indicators to evaluate the reconfiguration decisions during the operation of the RMS. We suggest three weighting methods that are convenient to different levels of DM expertise and desired degree of involvement in the reconfiguration process. These weighting methods are based on (1) intuitive weighting, (2) revised Simos procedural weighting combined with the Technique for Order of Preferences by Similarity to Ideal Solution (TOPSIS), and (3) DM independent weighting using ELECTRE IV. The implementation of the suggested framework and a comparison of the suggested methods carried out on an industrial case study are described herein. View Full-Text
Keywords: reconfiguration; multi-criteria decision making; SIMOS procedural weighting; TOPSIS; ELECTRE reconfiguration; multi-criteria decision making; SIMOS procedural weighting; TOPSIS; ELECTRE
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M. Mabkhot, M.; Darmoul, S.; M. Al-Samhan, A.; Badwelan, A. A Multi-Criteria Decision Framework Considering Different Levels of Decision-Maker Involvement to Reconfigure Manufacturing Systems. Machines 2020, 8, 8.

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