Multi objective Solid Transportation Problem In Uncertain Environment

Document Type : Regular Paper

Authors

Yildiz Technical University

Abstract

Although new information technologies decrease information and transaction costs, transportation problem of physical goods are still relevant. Globalization of trade increased the uncertainty that companies are facing, it also increased the importance of supply chain management in world economies drastically. Because transportation systems are crucial for operation management, the problem to find efficient and sustainable solutions under such uncertain environments needs to be studied. Thus, this paper focuses on “multiobjective Solid Transportation Problem (STP) in uncertain environment” and presents some approach to find the compromise optimal solution of multiobjective STP. Then, compatible with uncertainty, fuzzy programming and some techniques of the fuzzy set theory are implemented to solve the problem by using Maple 17.02. A numerical example is executed and presented here to illustrate suggested procedures.

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Iranian Journal of Science

Articles in Press, Accepted Manuscript
Available Online from 05 January 2016

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