制造/再制造混合系统中集成物流网络优化设计模型研究

摘要/Abstract

摘要： 为提高制造/再制造混合系统中的物流管理绩效，合理设计制造/再制造集成物流网络结构，基于混合整数线性规划方法，提出了一种制造/再制造集成物流网络优化设计模型，据此确定网络中各种设施的数量、位置及物流量分配，以使投资和运营的总成本最小。该模型的特点是：适合单产品、单周期、有能力限制的制造/再制造集成物流网络设施选址—分配问题。考虑了集成物流网络中共用设施的选址；正向物流中统筹考虑再制造产品和新产品的物流分配，但再制造产品和新产品不能相互替代。最后，通过一个算例验证了所提模型的有效性。

关键词: 再制造, 集成物流网络, 优化设计

Abstract: To improve logistics management efficiency in hybrid Manufacturing/Remanufacturing (M/R) systems and set up appropriate integrated logistics network structures, ann optimization model for designing integrated M/R logistics networks was proposed based on Mixed Integer Linear Programming (MILP) approach. According to the model, the number of various facilities, their locations and the allocation of the corresponding logistics flows could be decided upon so as to minimize the total cost of investment and operation. The characteristics of the model were as follows: suitable for the single-commodity, single-period, facility with limited capability location-allocation problem in integrated M/R logistics networks; taking into account the location of joint facilities for integrated logistics networks; considering the logistics distribution of remanufactured products and new products that cannot be replaced by each other in the forward logistics. . Finally, an example was presented to demonstrate the validity of the model.

Key words: remanufacturing, integrated logistics network, optimal design

中图分类号:

TH16
F252

马祖军，代颖，刘飞. 制造/再制造混合系统中集成物流网络优化设计模型研究[J]. .

MA Zu-jun, DAI Ying, LIU Fei. Optimization model for integrated logistics network design in

hybrid manufacturing/remanufacturing[J]. .

参考文献

［1］ MA Zujun, DAI Ying, LIU Fei. Green manufacturing and modern enterprise strategy［J］. Mechatronics, 1998, 4(5):5-7(in Chinese).［马祖军,代颖,刘飞.绿色制造与现代企业战略［J］.机电一体化, 1998, 4(5):5-7.］

[2] JAYARAMAN V, GUIDE Jr V D R, SRIVASTAVA R. A closed-loop logistics model for remanufacturing［J］. Journal of the Operational Research Society, 1999, 50(5):497-508.

[3] MA Zujun, ZHANG Dianye, DAI Ying. Optimization model of reverse logistics network design for remanufacturing［J］. Journal of Transportation Engineering and Information, 2004, 2(2): 53-58(in Chinese).［马祖军,张殿业,代颖.再制造逆向物流网络优化设计模型研究［J］.交通运输工程与信息学报, 2004, 2(2):53-58.］

[4] MA Zujun. Optimal design of logistics networks for product recovery［R］. Chengdu: Southwest Jiaotong University, 2004(in Chinese).［马祖军.产品回收再用物流网络优化设计问题研究［R］.成都:西南交通大学, 2004.］

[5] FLEISCHMANN M, KRIKKE H R, DEKKER R, et al. A characterisation of logistics networks for product recovery［J］. Omega, 2000, 28(1):653-666.

[6] FLEISCHMANN M, BLOEMHOF-RUWAARD J, DEKKER R, et al. Quantitative models for reverse logistics: a review［J］. European Journal of Operation Research, 1997, 103(1):1-17.

[7] ROGERS D S, TIBBEN-LEMBKE R S. Going backwards: reverse logistics trends and practices［M］. Pittsburgh，PA，USA: Reverse Logistics Executive Council, 1999.2-27.

[8] SPERANZA M G, STAHLY P. New trends in distribution logistics［M］. New York NY，USA: Springer-Verlag, 1999.23-62.

[9] FLEISCHMANN M. Quantitative models for reverse logistics ［M］. New York NY，USA: Springer-Verlag, 2001.3-7.

[10] MARIN A, PELEGRIN B. The return plant location problem: modelling and resolution［J］. European Journal of Operational Research, 1998, 104(2):375-392.

[11] KRIKKE H R, VAN HARTEN A, SCHUUR P C. Business case océ: reverse logistic network re-design for copiers［J］. OR Spektrum, 1999,21(3):381-409.

[12] KRIKKE H R, BLOEMHOF-RUWAARD J, VAN WASSENHOVE L. Concurrent product and closed-loop supply chain design with an application to refrigerators［J］. International Journal of Production Research, 2003, 41(16):3689-3719.

[1]	高鹏,杜建国,陆玉梅,朱宾欣. 政府再制造补贴对独立再制造商市场进入及产品质量决策的影响[J]. 计算机集成制造系统, 2021, 27(8): 2426-2436.
[2]	张建侠,宋明顺,方兴华,邓钰佳. 基于Kriging模型的多目标代理优化算法及其收敛性评估[J]. 计算机集成制造系统, 2021, 27(7): 2035-2044.
[3]	张英英,夏一,杜纲. 产品族配置与考虑升级的再制造设计主从关联优化[J]. 计算机集成制造系统, 2021, 27(7): 2053-2064.
[4]	张雪梅,周根贵,曹柬. 考虑政府规制和供应链协调的再制造微分博弈模型[J]. 计算机集成制造系统, 2021, 27(7): 2095-2111.
[5]	杨泽青,王春方,彭凯,刘丽冰,张亚彬. 基于深度支持向量机的曲轴智能识别方法[J]. 计算机集成制造系统, 2021, 27(6): 1629-1640.
[6]	王子生,姜兴宇,刘伟军,石敏煊,杨世奇,杨国哲. 再制造机床装配过程误差传递模型与精度预测[J]. 计算机集成制造系统, 2021, 27(5): 1300-1308.
[7]	杜彦斌,吴国奥,许磊. 基于神经网络和再制造因子的再制造机床可靠性分配方法[J]. 计算机集成制造系统, 2021, 27(4): 1052-1061.
[8]	王忠伟,尹谦,庞燕,邢立宁,任腾. 再制造闭环供应链回收问题研究进展[J]. 计算机集成制造系统, 2021, 27(4): 1201-1210.
[9]	姚君,陈东彦. 基于市场努力与再制造过程创新的闭环供应链定价及协调策略[J]. 计算机集成制造系统, 2021, 27(11): 3329-3340.
[10]	何娟,黄福玲,陈彦如,雷倩. 平行进口商市场入侵条件下第三方再制造影响[J]. 计算机集成制造系统, 2021, 27(1): 284-295.
[11]	司凤山,王晶,戴道明. 基于制造商回收的双渠道闭环供应链博弈分析[J]. 计算机集成制造系统, 2020, 26(第3): 849-859.
[12]	宋守许,邱权,卜建,柯庆镝. 基于疲劳与磨损的曲轴主动再制造时机选择[J]. 计算机集成制造系统, 2020, 26(第2): 279-287.
[13]	陈信同,李帮义,王哲,魏杉汀. 政府率规制对再制造竞争的影响[J]. 计算机集成制造系统, 2020, 26(第2): 522-530.
[14]	高攀,丁雪峰,覃若兰. 资金约束条件下再制造商的融资策略研究[J]. 计算机集成制造系统, 2020, 26(第1): 240-249.
[15]	曹浩,莫蓉,万能. 面向支撑力分布的桁架结构设计方法[J]. 计算机集成制造系统, 2020, 26(7): 1763-1770.