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Fuzzy programming models for vendor selection problem in a supply chain

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3 Author(s)
Junyan Wang ; Institute of Systems Engineering, Tianjin University, Tianjin 300072, China ; Ruiqing Zhao ; Wansheng Tang

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.

Published in:

Tsinghua Science and Technology  (Volume:13 ,  Issue: 1 )