• 论文 •    

基于第三方物流的产品回收物流网络优化模型及算法

何波,杨超,任鸣鸣   

  1. 华中科技大学 管理学院,湖北 武汉 430074综合考虑了产品回收逆向物流网络中的选址、存储、运输、服务等因素,建立了一个纯整数非线性规划模型。利用贪心算法思想,设计了一个混合智能算法。通过外层的启发式算法搜索物流网络可行的结构,用内层的模拟退火算法确定最优存储周期,两者相互协调实现最优解的搜索。结合实例,对模型和算法进行了仿真分析,证明了模型的可行性和算法的有效性。
  • 出版日期:2008-01-15 发布日期:2008-01-25

Model & algorithm of optimal design of logistics network for product return based on third party logistics

HE Bo, YANG Chao, REN Mingming   

  1. School of Management, Huazhong University of Science & Technology, Wuhan 430074, China
  • Online:2008-01-15 Published:2008-01-25

摘要: 综合考虑了产品回收逆向物流网络中的选址、存储、运输、服务等因素,建立了一个纯整数非线性规划模型。利用贪心算法思想,设计了一个混合智能算法。通过外层的启发式算法搜索物流网络可行的结构,用内层的模拟退火算法确定最优存储周期,两者相互协调实现最优解的搜索。结合实例,对模型和算法进行了仿真分析,证明了模型的可行性和算法的有效性。

关键词: 逆向物流, 选址, 第三方物流

Abstract: To address the problem of location, inventory, transportation and service coverage in reverse logistics, a nonlinear pure integer programming model was constructed. A hybrid intelligence algorithm based on greedy algorithm was designed. Outer heuristic algorithm was used to search for feasible structures of reverse logistics network while the inner simulated annealing algorithm was used to define the best inventory cycle so as to obtain search for the optimum solution. Simulation analysis demonstrated the feasibility of the model and the effectiveness of the algorithm.

Key words: reverse logistic, location, third party logistics, simulated annealing

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