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Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing

Author

Listed:
  • Ateekh Ur Rehman

    (Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia)

  • Syed Hammad Mian

    (Advanced Manufacturing Institute, King Saud University, Riyadh 11421, Saudi Arabia)

  • Usama Umer

    (Advanced Manufacturing Institute, King Saud University, Riyadh 11421, Saudi Arabia)

  • Yusuf Siraj Usmani

    (Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia)

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.

Suggested Citation

  • Ateekh Ur Rehman & Syed Hammad Mian & Usama Umer & Yusuf Siraj Usmani, 2019. "Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6040-:d:281918
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    References listed on IDEAS

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    1. Shankha Shubhra Goswami & Dhiren Kumar Behera, 2021. "Evaluation of the best smartphone model in the market by integrating fuzzy-AHP and PROMETHEE decision-making approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(1), pages 71-96, March.
    2. Sini Gao & Joanna Daaboul & Julien Le Duigou, 2021. "Process Planning, Scheduling, and Layout Optimization for Multi-Unit Mass-Customized Products in Sustainable Reconfigurable Manufacturing System," Sustainability, MDPI, vol. 13(23), pages 1-24, December.
    3. Chunting Liu & Guozhu Jia & Jili Kong, 2020. "Requirement-Oriented Engineering Characteristic Identification for a Sustainable Product–Service System: A Multi-Method Approach," Sustainability, MDPI, vol. 12(21), pages 1-20, October.

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