By Topic

Considering Supply Chain Benefit in Supplier Selection Problem by Using Information Sharing Benefits

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Reza Jazemi ; Industrial Engineering Department, Amirkabir University of Technology, Tehran, Iran ; S. H. Ghodsypour ; Jafar Gheidar-Kheljani

Optimizing a supply chain (SC) performance as a whole is a key success factors in forming long term relationships in SC. One of the most important processes in starting a supply chain is supplier selection. Much information such as price and accepted quality is exchanged between buyer and suppliers in the process. Traditionally, in a supplier selection problem, only buyer's benefit is optimized. In a centralized supply chain, the exchanged information can be used to optimize the whole benefit of supply chain versus only buyer's benefit. So, it seems reasonable that the buyer and suppliers share information between them. In this paper, considering nondeterministic conditions in the environment of business, coordination between buyers and suppliers in a supplier selection problem has been proposed and a fuzzy model with three objectives has been defined. These objectives are cost, quality, and timely delivery. Proposed model is a “fuzzy multiobjective mixed integer nonlinear” problem. A heuristic method is used to gain an efficient solution of the problem. Findings show that coordination between buyer and suppliers as an approach to global optimization more benefits for SC such as reducing whole cost rather than individually optimizing its member's benefits.

Published in:

IEEE Transactions on Industrial Informatics  (Volume:7 ,  Issue: 3 )