جلد 22، شماره 2 - ( 3-1390 )                   جلد 22 شماره 2 صفحات 107-114 | برگشت به فهرست نسخه ها


XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Elahi B, Seyed-HosseinI S M, Makui A. A Fuzzy Compromise Programming Solution for Supplier Selection in Quantity Discounts Situation. IJIEPR. 2011; 22 (2) :107-114
URL: http://ijiepr.iust.ac.ir/article-1-288-fa.html
A Fuzzy Compromise Programming Solution for Supplier Selection in Quantity Discounts Situation. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1390; 22 (2) :107-114

URL: http://ijiepr.iust.ac.ir/article-1-288-fa.html


چکیده:   (6050 مشاهده)

 

  Supplier selection,

  Multi-objective decision making,

  Fuzzy Compromise programming,

  Supply chain management,

  Quantity discount .

 

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 .

     
نوع مطالعه: پژوهشي | موضوع مقاله: و موضوعات مربوط
دریافت: ۱۳۹۰/۴/۲۸

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
کد امنیتی را در کادر بنویسید

کلیه حقوق این وب سایت متعلق به نشریه بین المللی مهندسی صنایع و تحقیقات تولید می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2015 All Rights Reserved | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb