低碳情景下的复合轴辐式快递网络规划
CSTR:
作者:
作者单位:

同济大学 经济与管理学院,上海 200092

作者简介:

张建军(1978—),男,副教授,博士生导师,管理学博士,主要研究方向为物流与供应链管理。 E-mail:zhangjianjun@tongji.edu.cn

通讯作者:

周一卓(1996—),女,博士生,主要研究方向为应急物流与供应链管理。E-mail:zhouyizhuo@tongji.edu.cn

中图分类号:

F506

基金项目:

国家自然科学基金(M-0310);上海市软科学重点项目(22692108800)


Multi-Layered Multi-Service-Leveled Hybrid Hub-Spoke Network Design in Low-Carbon Scenarios
Author:
Affiliation:

School of Economics and Management, Tongji University, Shanghai 200092, China

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [18]
  • |
  • 相似文献 [20]
  • | | |
  • 文章评论
    摘要:

    以快递网络规划问题为研究对象,分析了中国情境下多层级多服务水平复合轴辐式快递网络的特点,探讨了网络低碳化运营的内涵与情景,在此基础上构建了碳税和碳交易2种情形下的复合轴辐式快递网络规划决策模型,进而基于国内快递标杆企业的网络规划实践的实际数据、采用Lingo软件进行了相应的模型求解,分析了成本最小化目标与低碳化目标之间的关联与影响机理。研究结果表明,追求低碳化和节能减排并不会对传统的追求成本最小化目标的网络结构产生额外影响。

    Abstract:

    Aiming at express network designing and based on the real data from the network designing practice of a domestic benchmarking express enterprise, this paper discussed the research of the multi-layer multi-service-leveled hybrid hub-spoke network design in the Chinese situation and the influence mechanism of low-carbon on the network design. It constructed hub-spoke network design decision models in both the situations of carbon tax and carbon trading. In combination with the real data, it solved the models by adopting Lingo 14, and analyzed the connection between the cost-minimizing target and the low-carbon target, as well as the influence mechanism between them. The comparison between the results illustrates that the pursuit of low-carbon, energy conservation and emission reduction will not impose extra influence on the traditional network structure that pursues the minimal cost.

    参考文献
    [1] 程发新,李莉,潘婷.碳税政策下多目标再制造物流网络优化[J].工业工程与管理,2017,22(5):135.CHENG Xinfa, LI Li, PAN Ting. Multi-objective re-manufacturing logistics network optimization under carbon tax policy[J]. Industrial Engineering and Management, 2017,22(5):135.
    [2] MCKINNON A, HALLDORSSON A, RIZET C. Theme issue on sustainable freight transport[J]. Research in Transportation Business & Management, 2014, 12:1.
    [3] GALLARDO P, MURRAY R, KRUMDIECK S. A sequential optimization-simulation approach for planning the transition to the low carbon freight system with case study in the North Island of New Zealand[J]. Energies, 2021, 14(11):3339.
    [4] ZHANG D, ZHAN Q, CHEN Y, et al. Joint optimization of logistics infrastructure investments and subsidies in a regional logistics network with CO2 emission reduction targets[J]. Transportation Research Part D, 2018, 60:174.
    [5] BORTOLINI M, FACCIO M, Ferrari E, et al. Fresh food sustainable distribution: Cost, delivery time and carbon footprint three-objective optimization[J]. Journal of Food Engineering, 2016, 174:56.
    [6] WANG F, LAI X, SHI N. A multi-objective optimization for green supply chain network design[J]. Decision Support Systems, 2011, 51 (2): 262.
    [7] 浦徐进,李秀峰.基于电商承诺送达机制的多目标低碳MDVRP优化研究[J].中国管理科学,2021,29(8):57.PU Xujin, LI Xiufeng. Multi-objective low carbon MDVRP optimization based on e-commerce commitment delivery mechanism[J]. Chinese Journal of Management Science, 2021, 29(8): 57.
    [8] 唐慧玲,唐恒书,朱兴亮.基于改进蚁群算法的低碳车辆路径问题研究[J].中国管理科学,2021,29(7):118.TANG Huiling, TANG Hengshu, ZHU Xingliang. Research on low-carbon vehicle routing problem based on modified ant colony algorithm[J]. Chinese Journal of Management Science, 2021, 29(7): 118.
    [9] 李进.基于可信性的低碳物流网络设计多目标模糊规划问题[J].系统工程理论与实践,2015,35(6):1482.LI Jin. Credibility-based multi-objective fuzzy programming problem for low-carbon logistics network design[J]. Systems Engineering-Theory & Practice, 2015,35(6):1482.
    [10] 何其超,骆温平,胡志华,等.基于碳排放权交易与排队论的闭环物流网络设计[J].计算机应用研究,2015,32(6):1638.HE Qichao, LUO Wenping, HU Zhihua, et al. Low-carbon closed-loop logistics network design based on carbon emission permits trade and queuing theory[J]. Application Research of Computers, 2015,32(6):1638.
    [11] 何其超,胡列格,钱红波.基于多目标规划的低碳销售物流网络规划方法[J].系统工程,2013,31(7):37.HE Qichao, HU Liege, QIAN Bohong. Low-carbon sales logistics network planning method based on multi-objective planning[J]. Systems Engineering, 2013,31(7):37.
    [12] 唐金环,戢守峰,朱宝琳.考虑碳配额差值的选址-路径-库存集成问题优化模型与算法[J].中国管理科学,2014,22(9):114.TANG Jinhuan, JI Shoufeng, ZHU Baolin. Optimization model and algorithm considers carbon-capped difference in the collaboration of location-routing-inventory problem[J]. Chinese Journal of Management Science, 2014,22(9):114.
    [13] 崔娥英,罗俊浩,季建华.碳税和碳交易环境下的物流网络设计问题研究[J].科技管理研究,2012,22:239.CUI Eying, LUO Junhao, JI Jianhua. Research on logistics network design problem under carbon tax and carbon trading scheme[J]. Science and Technology Management Research, 2012,22:239.
    [14] 周章金,符小玲,李敏.基于碳排放的废弃产品回收站点分布研究[J].中国管理科学,2018,26(4):41.ZHOU Zhangjin, FU Xiaoling, LI Min. Research on stations distribution of waste collection based on carbon emission[J]. Chinese Journal of Management Science, 2018,26(4):41.
    [15] 赵泉午,赵军平,林娅.基于O2O的大型零售企业城市配送网络优化研究[J].中国管理科学,2017,25(9):159.ZHAO Quanwu, ZHAO Junping, LIN Ya. A city logistics network optimization model for large chain retailers under online-offline channel interation[J]. Chinese Journal of Management Science, 2017,25(9):159.
    [16] 肖庆,马士华,唐尧.存在三重属性节点的物流网络选址分配问题研究[J].运筹与管理,2016,25(5):59.XIAO Qing, MA Shihua, TANG Yao. Research on logistics network location and allocation problem with triple-attribute nodes[J]. Operations Research and Management Science, 2016,25(5):59.
    [17] 张希良,张达,余润心.中国特色全国碳市场设计理论与实践[J].管理世界,2021,37(8):80.ZHANG Xiliang, ZHANG Da, YU Runxin. Theory and practice of China's national carbon emissions trading system[J]. Management World, 2021, 37(8): 80.
    [18] ZHANG J, TANG O, ZHAO J, et al. CPEL redesigns its land express network[J]. Interfaces, 2013, 43(3): 221.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

张建军,王嘉铭,王天浩,周一卓.低碳情景下的复合轴辐式快递网络规划[J].同济大学学报(自然科学版),2023,51(2):288~294

复制
分享
文章指标
  • 点击次数:211
  • 下载次数: 601
  • HTML阅读次数: 82
  • 引用次数: 0
历史
  • 收稿日期:2021-09-01
  • 在线发布日期: 2023-03-03
文章二维码