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Fuzzy Programming Models for Vendor Selection Problem in a Supply Chain

Junyan WANG, Ruiqing ZHAO, Wansheng TANG( )
Institute of Systems Engineering, Tianjin University, Tianjin 300072, China
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Abstract

This paper characterizes quality, budget, and demand as fuzzy variables in a fuzzy vendor selection expected value model and a fuzzy vendor selection chance-constrained programming model, to maximize the total quality level. The two models have distinct advantages over existing methods for selecting vendors in fuzzy environments. A genetic algorithm based on fuzzy simulations is designed to solve these two models. Numerical examples show the effectiveness of the algorithm.

Keywords

vendor selection problemsupply chain managementfuzzy variablefuzzy simulationgenetic algorithm

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Tsinghua Science and Technology
Volume 13 Issue 1,
February 2008
Pages 106-111
DOI: 10.1016/S1007-0214(08)70017-8

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Cite this article:
WANG J, ZHAO R, TANG W. Fuzzy Programming Models for Vendor Selection Problem in a Supply Chain. Tsinghua Science and Technology, 2008, 13(1): 106-111. https://doi.org/10.1016/S1007-0214(08)70017-8

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Received: 04 August 2006
Revised: 17 November 2006
Published: 01 February 2008
© Tsinghua University Press 2008