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A bi-level programming model for supplier selection in constructing logistics service supply chain

机译:建设物流服务供应链供应商选择的双级编程模型

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In order to reduce the subcontract cost and improve service quality gradually in constructing logistics service supply chain, a bi-level programming model to describe the game relationship between integrated logistics service supplier and subcontract supplier is put forward, its upper-level objective function is to determine subcontract total cost which should be minimized, its lower-level objective function is subcontract supplier’s total service quality which should be maximized. A criterion on measuring subcontract supplier’s service quality was presented as “synthetically expressive degree(SED)”.Then true influencing factors and their weights were gained by reducing all influencing factors based on fuzzy-rough set. According to true influencing factors’ weights, we can calculate synthetically expressive degree of each subcontract supplier. A genetic algorithm to solve model was proposed, a rule of dealing with constraints and lower-level objective function were designed and applied to the genetic algorithm. Finally, a simple simulation application was illustrated; the result indicates the method is good at inspiriting subcontract supplier to cut down price and improved service quality at the same time.
机译:为了减少分包成本并逐步提高服务质量,逐步构建物流服务供应链,提出了一种描述集成物流服务供应商和分包供应商之间的博弈关系的双层编程模型,其上层目标函数是确定转包总成本应最大限度地减少,其较低级别的物理函数是分包供应商的总服务质量,应该最大化。测量分包供应商服务质量的标准被呈现为“综合表达程度(SED)”。然后通过减少基于模糊粗糙集的所有影响因素来获得真正的影响因素及其重量。根据真正的影响因素的重量,我们可以计算每个分包供应商的综合表达程度。提出了一种求解模型的遗传算法,设计了对约束和较低级别的目标函数的规则,并应用于遗传算法。最后,说明了简单的仿真应用程序;结果表明该方法擅长促进分包供应商,同时削减价格和改善的服务质量。

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