Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
865814 | Tsinghua Science & Technology | 2008 | 6 Pages |
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.
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Physical Sciences and Engineering
Engineering
Engineering (General)
Authors
Wang (çä¿è³), Zhao (èµµçæ¸
), Tang (åä¸ç),