A fuzzy optimization model for supply chain problems

Sezi Çevik, Nüfer Yasin Ates*, Cengiz Kahraman, Murat Gülbay

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A supply chain is a network of suppliers, manufacturing plants, warehouses, and distribution channels organized to acquire raw materials, convert these raw materials to finished products, and distribute these products to customers.Linear Programming is a wide used technique to optimize Supply Chain decisions. In the crisp case, every parameter value is certain wheras in real life, the data is rather fuzzy than crisp. The fuzzy set theory has the capability of modeling the problems with vague information. In this paper, a fuzzy optimization model for supply chain problems will be developed under vague information. A numerical example will be given to show the usability of the fuzzy model.

Original languageEnglish
Title of host publicationProceedings of the 35th International Conference on Computers and Industrial Engineering, ICC and IE 2005
Pages483-488
Number of pages6
Publication statusPublished - 2005
Event35th International Conference on Computers and Industrial Engineering, ICC and IE 2005 - Istanbul, Turkey
Duration: 19 Jun 200522 Jun 2005

Publication series

NameProceedings of the 35th International Conference on Computers and Industrial Engineering, ICC and IE 2005

Conference

Conference35th International Conference on Computers and Industrial Engineering, ICC and IE 2005
Country/TerritoryTurkey
CityIstanbul
Period19/06/0522/06/05

Keywords

  • Fuzzy set theory
  • Linear programming
  • Logistic optimization
  • Supply chain

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