Abstract
The manifestation of new part designs and continuously changing market demands as well as the requirements of new functions and technologies often results in higher material cost, lesser machine utilization, and extensive wastage of energy. As a consequence, companies across the world are striving for sustainable manufacturing, which can ensure flexibility as well as adaptability, with higher productivity and lesser wastage of resources. The dynamic and competitive nature of the world market emphasizes the importance of economically sustainable setups, such as reconfigurable cellular manufacturing systems (RCMSs). Indeed, among several cutting-edge strategies, the RCMS is the most prominent owing to its versatility, rationality, and resilience. However, one of the limitations associated with RCMS is the evaluation and selection of the best configuration that can meet abrupt changes and achieve manufacturing sustainability. Therefore, organizations intending to reconfigure have to address the issue of evaluating all possible alternatives and selecting the best one using a well-defined methodology. This paper focuses on evaluating and finding the best configuration using multi-criteria decision-making (MCDM) approaches depending on PROMETHEE and VIKOR. The fuzzy analytic hierarchy process (FAHP) is utilized to compute the weights of various criteria because it also considers any uncertainty and vagueness existing in the problem. The assessing attributes in this study are selected by keeping in mind the objective of sustainable manufacturing. The two MCDM methods are utilized for ranking different configurations to ascertain the results obtained from the other. The study accomplished in this paper is related to manufacturing setups that need to be reconfigured. The number of manufacturing configurations is determined, and simulation models are established for each configuration. The simulation outcomes are examined using the FAHP-PROMETHEE and FAHP-VIKOR to assess the appropriateness of each configuration depending on the identified performance measures. The results of the experiments show the importance of employing MCDM in RCMS to achieve sustainable manufacturing and determining the most effective setup.
Highlights
Manufacturing systems were designed for invariable market situations, where persistent changes in design, as well as demand, seldom occurred
The application of multi-criteria decision-making (MCDM) in reconfigurable cellular manufacturing systems (RCMSs) was presented in this work
The primary challenge in the integration of RCMS and sustainability is the evaluation of all possible alternatives and thereby selecting the best in terms of optimum requirements for specific internal and external market demands
Summary
Manufacturing systems were designed for invariable market situations, where persistent changes in design, as well as demand, seldom occurred Their inability to respond to frequent market changes and customer requirements has led to the emergence of novel concepts, namely cellular manufacturing systems (CMSs), reconfigurable manufacturing systems (RMSs), etc. The RMS is very capable of negotiating with changes and uncertainties in dynamic demand conditions [4,5] Several advantages, such as high responsiveness, enhanced flexibility, higher productivity, reduced labor requirements, and work-in-process, etc., are associated with RMSs. the CMS involves the implementation of group technology (GT) for the generation of production cells within which many part families can be produced [6,7]. It can be inferred that sustainable manufacturing with RCMS can be accomplished through the evaluation and adoption of the most relevant configuration from the list of available alternatives [10,11,12]
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