模糊随机需求下的全球供应链订单分配

工业工程 ›› 2012, Vol. 15 ›› Issue (6): 80-88.

模糊随机需求下的全球供应链订单分配

上海海事大学经济管理学院，上海 200135

出版日期:2012-12-31 发布日期:2013-01-15
作者简介:葛娜（1988-），女，山东省人，硕士研究生，主要研究方向为物流与供应链管理.
基金资助:
教育部人文社会科学基金项目（09YJA630094）;上海市研究生创新基金项目（yc2012021）

Order Assignment in Global Supply Chain with Fuzzy Random Demands

School of Economy and Management, Shanghai Maritime University, Shanghai 200135, China

Online:2012-12-31 Published:2013-01-15

摘要/Abstract

摘要： 为了使全球供应链三方企业即供应商、第三方物流服务供应商和购买商的利润最大化，考虑了供应链中的模糊随机需求、关税和汇率等因素，从三方企业利润最大化角度出发，建立全球供应链订单分配的模糊随机多目标优化模型。并借助矩阵转换，将模型转化为三方利润满意度最高的单目标优化模型进行求解，用Shapely值法对三方企业利润进行合理分配。最后运用算例对模型进行仿真，并通过比较分析得出，基于三方企业利润最大化的订单分配模型所实现的全球供应链总利润要比基于一方企业或两方企业利润最大化的订单分配模型所实现的全球供应链总利润最少高出347%，验证了模型的有效性。

关键词: 模糊随机需求, 订单分配, 全球供应链

Abstract: A global supply chain composed of suppliers, third party logistics service suppliers, and buyers with fuzzy random demands is addressed in this paper. Aiming at total profit maximization for the supply chain, with tariffs and exchange rate considered, a fuzzy random optimization model for order assignment problem is proposed. The model is solved by transforming it into a single objective optimization model for maximizing satisfaction degree. The profit for individual parties is allocated by using Shapely method. A numerical example is used to demonstrate the effectiveness of the model by comparison. It shows that, by maximizing the total profit of supply chain, the total profit can increase by at least 3.47% than that by maximizing the profit of one part or two parts.

Key words: fuzzy random demands, order assignment, global supply chain

葛娜，汪传旭. 模糊随机需求下的全球供应链订单分配[J]. 工业工程, 2012, 15(6): 80-88.

Ge Na, Wang Chuan-xu. Order Assignment in Global Supply Chain with Fuzzy Random Demands[J]. Industrial Engineering Journal , 2012, 15(6): 80-88.

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