Volume 19, Issue 4 (12-2022)                   jor 2022, 19(4): 63-87 | Back to browse issues page


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Shadkam E. The New FAPSIS Hybrid Method to Solve Multi-Objective Optimization Problems: Supplier Selection Problem. jor 2022; 19 (4) :63-87
URL: http://jamlu.liau.ac.ir/article-1-2064-en.html
Department of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad, Iran
Abstract:   (976 Views)
In recent years, the problem of selecting the right supplier in the supply chain has become a strategic and important issue. Due to the existence of multiple and contradictory criteria, the problem of selecting a supplier is a multi-objective problem and sometimes it is very difficult to find the optimal solution. Choosing the right supplier on the one hand, significantly reduces the cost of purchasing raw materials and the waiting time until the ordered shipment arrives; on the other hand, it increases the level of competitiveness of organizations. The purpose of this study is to provide a hybrid method for solving multi-objective problems that has been used in evaluating and selecting the appropriate supplier. The proposed FOPSIS hybrid method is a combination of the TOPSIS method and the cuckoo optimization algorithm. The proposed method is first considered for experimental problems and then the implementation supplier is selected for multi-purpose application problem. The speed and accuracy of the results obtained from the implementation of the proposed FOPSIS method show the efficiency of the algorithm in solving multi-objective problems and this method can well identify Pareto solutions of the problem in comparison with similar methods. Also, due to the use of the hybrid method, the advantages of the cuckoo meta-heuristic algorithm can be used simultaneously in solving large-scale problems and the TOPSIS method can be used to evaluate and select a more efficient option.
Full-Text [PDF 1255 kb]   (424 Downloads)    
Type of Study: Research | Subject: Special
Received: 2022/01/2 | Accepted: 2022/06/17

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