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Fuzzy Programming Models for Vendor Selection Problem in a Supply Chain 被引量:2

Fuzzy Programming Models for Vendor Selection Problem in a Supply Chain
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摘要 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. 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.
出处 《Tsinghua Science and Technology》 SCIE EI CAS 2008年第1期106-111,共6页 清华大学学报(自然科学版(英文版)
基金 the National Natural Science Foundation of China (Nos.70471049 and 70571056)
关键词 vendor selection problem supply chain management fuzzy variable fuzzy simulation genetic algorithm vendor selection problem supply chain management fuzzy variable fuzzy simulation genetic algorithm
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参考文献10

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同被引文献26

  • 1刘新宪 朱道立.选择与判断[M].上海:上海科学普及出版社,1990..
  • 2蒲国利,李随成.分销商选择的模糊多目标规划方法[J].工业工程,2007,10(5):102-105. 被引量:5
  • 3王能明,孙林岩,汪应洛.绿色供应链管理[M].北京:清华大学出版社,2005.
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