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.%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.
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