需求可拆分Milk-run与 Supply-hub协同的汽车零部件入厂物流优化

doi:10.16381/j.cnki.issn1003-207x.2019.1806

中国管理科学 ›› 2022, Vol. 30 ›› Issue (7): 59-68.doi: 10.16381/j.cnki.issn1003-207x.2019.1806

需求可拆分Milk-run与 Supply-hub协同的汽车零部件入厂物流优化

黄肖玲¹, 陈焕平¹, 高晓楠¹, 王丹¹, 刘进平¹, 陈继红²

1.大连海事大学交通运输工程学院，辽宁大连116026；2.上海海事大学交通运输学院，上海201306

收稿日期:2019-11-11 修回日期:2020-05-08 出版日期:2022-08-05 发布日期:2022-08-05
通讯作者: 黄肖玲(1962-)，女(汉族)，辽宁大连人，大连海事大学交通运输工程学院，教授，博士，研究方向：物流与供应链管理、交通运输规划与管理，Email:huangxiaoling@dlmu.edu.cn. E-mail:huangxiaoling@dlmu.edu.cn
基金资助:
国家自然科学基金资助项目(71371038，71431001，51409157)

Deliverysplit Milkrun and Supplyhub Collaborate to Optimize Automobiles Parts Inbound logistics

HUANG Xiao-ling¹, CHEN Huan-ping¹, GAO Xiao-nan¹, WANG Dan¹, LIU Jin-ping¹, CHEN Ji-hong²

1. College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China; 2. College of Transport & Communication, Shanghai Maritime University, Shanghai 201306, China

Received:2019-11-11 Revised:2020-05-08 Online:2022-08-05 Published:2022-08-05
Contact: 黄肖玲 E-mail:huangxiaoling@dlmu.edu.cn

摘要/Abstract

摘要： 受能源压力、环保要求、消费者需求日趋多样化等因素的影响，汽车制造企业改进整车制造体系、优化成本、挖掘新利润空间迫在眉睫。零部件入厂物流作为汽车物流系统中最复杂的部分，其过程优化是降低汽车制造企业物流总成本的关键。为提高汽车产业链效益，降低零部件入厂物流成本，本文采用需求可拆分Milk-run与Supply-hub协同对汽车零部件入厂物流进行优化。利用需求可拆分的Milk-run方式代替干线直运方式进行集并运输。构建了具有单边柔性时间窗的需求可拆分Milk-run模型。运用改进的Tabu Search算法对模型进行求解。通过应用分析，结果表明本文提出的方法提高了车辆的装载率，减少了派车数量与行驶里程，降低了汽车零部件入厂物流成本。

关键词: 入厂物流；单边柔性时间窗；Tabu Search；JIT

Abstract: Under the influence of energy pressure, environmental protection and the increasing diversification of consumer demand, it is urgent for automobile manufacturing enterprises to improve the manufacturing system, optimize the cost, and tap the new profit space. As the most complex part of automobile logistics system, the optimization of inbound logistics is the key to reduce the total logistics cost of automobile manufacturing enterprises.

Key words: inbound logistics; unilateral flexible time window; Tabu Search; JIT

中图分类号:

C931
O221

黄肖玲, 陈焕平, 高晓楠, 王丹, 刘进平, 陈继红. 需求可拆分Milk-run与 Supply-hub协同的汽车零部件入厂物流优化[J]. 中国管理科学, 2022, 30(7): 59-68.

HUANG Xiao-ling, CHEN Huan-ping, GAO Xiao-nan, WANG Dan, LIU Jin-ping, CHEN Ji-hong. Deliverysplit Milkrun and Supplyhub Collaborate to Optimize Automobiles Parts Inbound logistics[J]. Chinese Journal of Management Science, 2022, 30(7): 59-68.

参考文献

［1］周炳海, 沈诚怡. 基于改进齐套零件策略的车辆装配线新型物料配送调度［J］. 系统工程理论与实践, 2018, 38(7): 1870-1876.Zhou Binghai, Shen Chengyi. New material distribution scheduling for vehicle assembly line based on improved complete set of parts strategy［J］. Systems Engineering-Theory & Practice, 2018, 38(7): 1870-1876.
［2］ Falsafi M, Marchiori I, Fornasiero R. Managing disruptions in inbound logistics of the automotive sector［J］. International Federation of Automatic Control, 2018, 51(11): 376-381.
［3］唐国春, 刘小卉. 运筹学在汽车零部件入厂物流中的应用［J］. 运筹学学报，2015，19(3)：123-130.Tang Guochun, Liu Xiaohui. Application of operations research in incoming logistics of auto parts［J］. Operations Research Transactions, 2015，19(3)：123-130.
［4］于辉, 陈飞平. 基于供应链协同的汽车制造企业入厂物流模式选择［J］. 系统工程理论与实践, 2011, 31(7): 1230-1239.Yu Hui, Chen Feiping. Selection of inbound logistics mode for automobile manufacturing enterprises based on supply chain collaboration［J］. Systems Engineering-Theory & Practice, 2011, 31(7): 1230-1239.
［5］蒋丽, 梁昌勇. 基于延迟理论的Supply Hub出库调度模型［J］. 系统工程理论与实践, 2015, 35(4): 904-910.Jiang Li, Liang Changyong. Supply hub outbound scheduling model based on delay theory［J］. Systems Engineering-Theory & Practice, 2015, 35(4): 904-910.
［6］ Li Guo, Lv Fei, Guan Xu. A collaborative scheduling model for the supply-hub with multiple suppliers and multiple manufacturers［J］. The Scientific World Journal, 2014, 2014: 1-12.
［7］马士华, 洪生，黄焜. 基于批量-时间原则的VMI Hub配送柔性［J］. 运筹与管理，2012，21(4): 103-111.Ma Shihua, Hong Sheng, Huang Kun. VMI Hub distribution flexibility based on batch-time principle［J］. Operations Research and Management Science, 2012，21(04): 103-111.
［8］刘秋生, 宋根平. 基于Supply-Hub的三级供应链运作成本优化研究［J］. 管理工程学报，2013(1): 142-146.Liu Qiusheng, Song Genping. Research on optimization of three-tier supply chain operation cost based on Supply-Hub［J］. Journal of Industrial Engineering and Engineering Management, 2013(1): 142-146.
［9］左晓露, 刘志学，郑长征. 汽车零部件循环取货物流模式的分析与优化［J］. 汽车工程, 2011, 133(1): 79-84.Zuo Xiaolu, Liu Zhixue, Zheng Changzheng. Analysis and optimization of the circular pickup flow Mode for auto parts［J］. Automotive Engineering, 2011, 133(1): 79-84.
［10］ Qiu Xuan, Huang George Q. Transportation service sharing and replenishment/delivery scheduling in Supply Hub in Industrial Park (SHIP)［J］. International Journal of Production Economics，2016, 175: 109-120.
［11］陈飞平. Milk-Run和Supply-Hub集成策略仿真研究［J］. 技术经济, 2009, 28(11): 111-115.Chen Feiping. Research on integrated strategy simulation of Milk-Run and Supply-Hub［J］. Technology Economics, 2009, 28(11): 111-115.
［12］ Dror M, Trudeau P. Savings by split delivery routing［J］. Transportation Science, 1989, 23(2): 141-145.
［13］ Dror M, Trudeau P. Split delivery routing［J］. Naval Research Logistics, 1990, 37(3): 383-402.
［14］ Archetti C, Savelsbergh M W P, Speranza M G. Worst-Case analysis for split delivery vehicle routing problems［J］. Transportation Science，2006，40(2)：226-234.
［15］谢秉磊, 胡小明，张一喆. 需求可分的车辆路径问题模型与算法［J］.运筹与管理, 2012, 21(3): 72-76.Xie Binglei, Hu Xiaoming, Zhang Yizhe. Model and algorithm for vehicle routing problem with separable demand［J］. Operations Research and Management Science, 2012, 21(3): 72-76.
［16］王旭, 陈栋，王振锋. 汽车零部件Milk-run车辆调度优化模型和算法［J］. 计算机应用，2011, 31(4): 1125-1128, 1132.Wang Xu, Chen Dong, Wang Zhenfeng. Auto parts milk-run vehicle scheduling optimization model and algorithm［J］. Journal of Computer Applications, 2011, 31(4): 1125-1128, 1132.
［17］朱玲, 吴迪. 需求可拆分的汽车零部件循环取货路径优化研究［J］. 计算机应用研究, 2013, 30(6): 1647-1651.Zhu Ling, Wu Di. Research on the optimization of the cyclic pickup route for auto parts with separable demand［J］. Application Research of Computers, 2013, 30(6): 1647-1651.
［18］符卓, 刘文，邱萌. 带软时间窗的需求依订单拆分车辆路径问题及其禁忌搜索算法［J］. 中国管理科学, 2017,25(5): 78-86.Fu Zhuo, Liu Wen, Qiu Meng. Demand-based vehicle routing problem with soft time windows and its tabu search algorithm［J］. Chinese Journal of Management Science, 2017,25(5): 78-86.
［19］ Peng Tao, Zhou Binghai. Scheduling multiple servers to facilitate just-in-time part-supply in automobile assembly lines［J］. Assembly Automation, 2018, 38(3): 347-360.
［20］吕飞, 马士华. 供应商成本信息不对称下装配系统协同问题研究［J］. 运筹与管理，2017，26(2): 57-67.Lv Fei, Ma Shihua. Research on the coordination problem of assembly system under the condition of supplier cost information asymmetry. Operations Research and Management Science, 2017，26(2): 57-67.
［21］ Zhang Jie, Peng Jiazhen, Xu Zhiyu. SDVRP model for emergency logstics and evolutionary heuristic approach［C］∥International Conference on Automatic Control and Artificial Intelligence (ACAI 2012), Xiamen, China, March 3-5, 2012.
［22］ Pureza V, Morabito R, Reimann M. Vehicle routing with multiple deliverymen: Modeling and heuristic approaches for the VRPTW［J］. European Journal of Operational Research, 2012, 218(3): 636-647.
［23］王勇, 赵骅，李勇. 用禁忌算法求解第四方物流作业整合优化模型［J］. 系统工程学报, 2006, 21(2): 143-149.Wang Yong, Zhao Ye, Li Yong. Using tabu algorithm to solve the integrated optimization model of fourth party logistics operation［J］. Journal of Systems Engineering, 2006, 21(2): 143-149.
［24］廖大强, 邬依林，印鉴. 基于禁忌搜索算法的线路规划方案求解［J］. 计算机工程与设计, 2015, 36(5): 1368-1374.Liao Daqiang, Wu Yilin, Yin Jian. Solution of route planning scheme based on tabu search algorithm［J］. Computer Engineering and Design, 2015, 36(5): 1368-1374.
［25］ Mole R H, Jameson S R. A sequential route-building algorithm employing a generalised savings criterion［J］. Journal of the Operational Research Society, 1976, 27(2): 503-511.
［26］张江华, 李进，高敏刚. 同时集散货物的开放式车辆路径问题研究［J］. 中国管理科学, 2013, 21(4): 187-192.Zhang Jianghua, Li Jing, Gao Mingang. Research on the open vehicle routing problem for simultaneous bulk cargo［J］. Chinese Journal of Management Science, 2013, 21(4): 187-192.

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需求可拆分Milk-run与 Supply-hub协同的汽车零部件入厂物流优化

Deliverysplit Milkrun and Supplyhub Collaborate to Optimize Automobiles Parts Inbound logistics

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