Fuzzy Particle Swarm Optimization Algorithm for a Supplier Clustering Problem
عنوان مقاله: Fuzzy Particle Swarm Optimization Algorithm for a Supplier Clustering Problem
شناسه ملی مقاله: JR_JOIE-1-1_003
منتشر شده در شماره 1 دوره 1 فصل در سال 1386
شناسه ملی مقاله: JR_JOIE-1-1_003
منتشر شده در شماره 1 دوره 1 فصل در سال 1386
مشخصات نویسندگان مقاله:
E Mehdizadeh - Islamic Azad University, Science and Research Branch Branch
R Tavakkoli Moghaddam - Department of Industrial Engineering, Faculty of Engineering, University of Tehran
خلاصه مقاله:
E Mehdizadeh - Islamic Azad University, Science and Research Branch Branch
R Tavakkoli Moghaddam - Department of Industrial Engineering, Faculty of Engineering, University of Tehran
This paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. During recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In general, many quantitative and qualitative factors, such as quality, price, and flexibility and delivery performance, must be considered to determine suitable suppliers. The aim of this study is to present a new approach using particle swarm optimization (PSO) algorithm for clustering suppliers under fuzzy environments and classifying smaller groups with similar characteristics. Our numerical analysis indicates that the proposed PSO improves the performance of the fuzzy c-means (FCM) algorithm
کلمات کلیدی: Fuzzy clustering, supplier clustering problem and particle swarm optimization
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/790866/