不确定环境下的再制造闭环物流网络优化  

Optimization for remanufacturing closed-loop logistics network under uncertain environment

作　　者：王振锋[1] 崔岩[1] 王亮[1] 谢敏[2] 

机构地区：[1]河南农业大学机电工程学院,郑州450002 [2]重庆大学机械工程学院,重庆400030

出　　处：《计算机工程与应用》2012年第36期221-226,共6页Computer Engineering and Applications

基　　金：国家自然科学基金(No.71001111);河南省软科学研究计划项目(No.122400440138)

摘　　要：考虑废旧产品回收数量、回收质量、再生产品需求量的不确定性以及废弃处理中心的选址等多重因素,构建单产品、多周期的再制造闭环物流网络优化设计模型,运用云遗传算法来确定物流网络中各设施的数量、位置、规模以及各设施间的合理物流分配量,使得在整个运营周期的净收益最大。通过算例来验证该模型的有效性。Considering the uncertainty of the recoverable quantities, quality of used products, the demanded quantities of remanufactured products and the site of waste production treatment center, a single-commodity, multi-period optimization model for remanufacturing closed-loop logistics network is proposed. Cloud genetic algorithm is applied to deciding upon the number and scale of various facilities, their locations and the allocation of the corresponding goods flows, so that the net revenue is maximum at the end of entire operating cycle. The validity of the model is demonstrated through an example.

关 键 词：再制造闭环物流网络 优化设计 云遗传算法 不确定环境 

分 类 号：F252[经济管理—国民经济]