Supply Chain Evaluation and Selection Approach Using Combined Techniques of Fuzzy Hierarchical Analysis Process and Fuzzy Multi-Objective Linear Programming (Case Study of Bahman Motor Center)

Abstract

In the last decade, how to supply raw materials and select suppliers in the supply chain has been a challenge for most organizations. Since supplier performance has a major impact on the success or failure of the supply chain, supplier selection is recognized as a strategic task. Therefore, in this research conducted at Bahman Motor Center, we try to identify the most important criteria in selecting suppliers and determine the importance of each of them as the best supplier. Therefore, the first criteria for selecting suppliers for a piece of Avalanche Engine Center fragments were identified through a questionnaire and then fuzzy AHP based on the development analysis method, the score of each criterion and the weight of each supplier. In relation to each criterion, a fuzzy objective function was created for each criterion, which aimed to maximize the supplier's performance with respect to each criterion. Weight collector was selected as the best supplier.

Keywords

• supply chain
• fuzzy analytical hierarchy process
• fuzzy logic
• multiple fuzzy planning