Article ID Journal Published Year Pages File Type
865814 Tsinghua Science & Technology 2008 6 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Engineering Engineering (General)
Authors
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