A Fuzzy Compromise Programming Solution for Supplier Selection in Quantity Discounts Situation

سال انتشار: 1390
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 719

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شناسه ملی سند علمی:

JR_IJIEPR-22-2_004

تاریخ نمایه سازی: 7 شهریور 1393

چکیده مقاله:

Supplier selection is naturally a complex multi-objective problem including both quantitative and qualitative factors. This paper deals with this issue from a new view point. A quantity discount situation, which plays a role of motivator for buyer, is considered. Moreover, in order to find a reasonable compromise solution for this problem, at first a multi-objective modeling is presented. Then a proposed fuzzy compromise programming is utilized to determine marginal utility function for each criterion. Also, group decision makers’ preferences have taken into account and the weight of each criterion has been measured by forming pair-wise comparison matrixes. Finally the proposed approach is conducted for a numerical example and its efficacy and efficiency are verified via this section. The results indicate that the proposed method expedites the generation of compromise solution.

نویسندگان

Bein Elahi

M..S.C Student of Industrial Engineering, Department of Industrial Engineering Iran University of Science and Technology ,Iran, Tehran

Seyed Mohammad Seyed-Hosseini

Professor, Department of Industrial Engineering Iran University of Science and Technology ,Iran, Tehran

Ahmad Makui

Professor, Department of Industrial Engineering Iran University of Science and Technology ,Iran, Tehran