基于第三方回收再制造逆向物流网络设计  

Remanufacturing Reverse Logistics Network Design Based on the Third-Party Recovery Under Fuzzy Environment

作　　者：高阳[1] 刘军[1] 

机构地区：[1]中南大学商学院,长沙410083

出　　处：《计算机系统应用》2013年第7期16-21,15,共7页Computer Systems & Applications

基　　金：国家自然科学基金(71071163)

摘　　要：针对再制造逆向物流网络设计问题,在考虑产品回收量和消费市场需求量不确定的条件下,以第三方物流企业收益最大化和制造商收益最大化为目标建立了基于第三方回收多周期再制造逆向物流网络模型.利用该模型可以确定每个周期制造商购买第三方物流企业产品的最优价格,可以确定网络中回收中心和检测/拆卸中心的开设数量以及各设施间的物流量分配.将不确定参数用三角模糊数表示,借助模糊机会约束规划方法将该模型转化为确定性等价模型.利用算例验证了模型的有效性,并用目标规划法分析了两个目标之间的关系.To deal with the design of remanufacturing reverse logistics network, considering the uncertainty of the product recovery and consumer market demand, a multi-period remanufacturing reverse logistics network model based on third-party recovery was established in order to maximize the benefits of both the third-party logistics supplier and the manufacturer. The model can be determined for the best price of products that the manufacturer pays for the third-party logistics supplier each period. The numbers of recycling centers and inspection/disassembly centers, and the allocation of the corresponding goods flows in the network can be decided. The uncertainty parameters were denoted by the triangular fuzzy numbers. With fuzzy chance constrained programming methods, the network model in the uncertain environment can be transferred into a certainty equivalent model. The validity of the model was illustrated by a numerical example, and the relationship between the two goals was analyzed by goal programming method.

关 键 词：再制造 第三方物流企业 模糊机会约束规划方法 目标规划法 

分 类 号：F253.9[经济管理—国民经济]