逆向物流订单分配排序优化研究  

Research on Sorting Optimization of Reverse Logistics Order Assignment

作　　者：姬淑珍 高更君[1] 

机构地区：[1]上海海事大学物流研究中心,上海201306

出　　处：《重庆师范大学学报（自然科学版）》2017年第6期21-24,共4页Journal of Chongqing Normal University:Natural Science

基　　金：国家自然科学基金(No.71601114);上海市科委工程中心能力提升项目(No.14DZ2280200);上海市科委重点项目(No.12510501600);重庆市教委科学技术研究项目(No.KJ1600326)

摘　　要：【目的】讨论了如何对订单合理分配实现货物的低成本及高效回收的问题,为作为闭环供应链逆向物流订单货物的高效回收提供可借鉴方法。【方法】通过对逆向物流车辆与货物订单分配问题的分析,利用现代排序论的思想和方法将逆向物流订单和车辆分别看作工件和机器,构建了逆向物流订单分配排序优化模型,设计了模型求解算法并做了算例模拟。【结果】算例模拟结果表明:所设计的模型及算法能够有效解决订单货物的高效回收。【结论】基于分支定界法的改进的FBLPT算法能够给出问题的最优解,对解决逆向物流订单分配排序优化问题有一定参考价值。[Purposes]As an integral part of the closed-loop supply chain,reverse logistics has been paid more and more attention by the industry,and the efficient recovery of its order has become one of the hot issues.The problem to be solved here is how to rationally allocate the order to realize the low cost and efficient recovery of the goods.[Methods]It analyzes the problems of reverse distribution of logistics vehicles and goods,and uses the ideas and methods of modern sorting to solve the problem.It will reverse the logistics orders and vehicles as the workpiece and the machine,first constructed a reverse logistics order allocation sort optimization model,and then designed the model to solve the algorithm,and finally made a case study.[Findings]The simulation results show that the model and algorithm designed here can effectively solve the efficient recovery of order goods.[Conclusions]The improved FBLPT algorithm based on branch and bound method can give the optimal solution of the problem,so as to provide theoretical reference and practical guidance for solving the problem of sorting optimization of reverse logistics order allocation.

关 键 词：逆向物流 订单分配 排序 优化 

分 类 号：O221.7[理学—运筹学与控制论]