不确定条件下新产品供应链零部件供应商选择的优化研究  

Optimization Study on Selection of Component Suppliers of New Product Supply Chain under Uncertainty

作　　者：桂贤[1] 杜纲[1] 

机构地区：[1]天津大学管理学院,天津300072

出　　处：《西安电子科技大学学报（社会科学版）》2008年第2期15-20,共6页Journal of Xidian University：Social Science Edition

摘　　要：本文运用可信性理论建立了模糊需求条件下新产品供应链配置的模糊机会约束规划模型,对模型的求解进行了分析,并用遗传算法进行求解。算例分析表明,运用本文提出的方法可以从供应商的选择、阶段库存和客户服务水平三个方面对模糊需求条件下的新产品供应链进行配置优化。This paper proposes fuzzy chance-constrained programming model for the configuration of new product supply chain under uncertainty with the credibility theory, analyzed the model. Genetic algorithm is integrated to seek the approximate best solution. A numerical example is given to show that it can optimize the configuration of new product supply chain under fuzzy environment from the selection of supplier, stock and target service level and can not only improve the service level but also reduce the cost of supply chain.

关 键 词：可信性理论 模糊机会约束规划模型 供应链管理 遗传算法 

分 类 号：F252[经济管理—国民经济]