Fuzzy Particle Swarm Optimization Algorithm for a Supplier Clustering Problem

سال انتشار: 1386
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 262

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:


تاریخ نمایه سازی: 22 آبان 1397

چکیده مقاله:

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

کلیدواژه ها:

Fuzzy clustering ، supplier clustering problem and particle swarm optimization


E Mehdizadeh

Islamic Azad University, Science and Research Branch Branch

R Tavakkoli Moghaddam

Department of Industrial Engineering, Faculty of Engineering, University of Tehran