交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (6): 250-261.DOI: 10.16097/j.cnki.1009-6744.2023.06.025

• 系统工程理论与方法 • 上一篇    下一篇

低碳视角下城乡区域混合车队生鲜配送路径问题研究

宋丽英*,赵世超,卞骞,杜鹏,沈鹏举   

  1. 北京交通大学,交通运输学院,北京 100044
  • 收稿日期:2023-07-28 修回日期:2023-09-18 接受日期:2023-10-07 出版日期:2023-12-25 发布日期:2023-12-23
  • 作者简介:宋丽英(1978- ),女,北京人,副教授,博士。
  • 基金资助:
    国家自然科学基金 (71971021)。

Fresh Food Distribution Route Optimization of Mixed Fleets in Urban and Rural Areas Under Low Carbon Perspective

SONG Li-ying*,ZHAO Shi-chao,BIAN Qian,DU Peng,SHEN Peng-ju   

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2023-07-28 Revised:2023-09-18 Accepted:2023-10-07 Online:2023-12-25 Published:2023-12-23
  • Supported by:
     National Natural Science Foundation of China (71971021)。

摘要: 随着物流行业绿色化转型加快,越来越多的物流企业使用由燃油冷藏车和电动冷藏车组成的混合车队来完成生鲜配送。本文综合考虑环境效益、企业效益、客户满意度、生鲜产品特点等因素,建立燃油车辆与电动车辆混合车队生鲜配送路径优化模型,并选取城市与农村两种不同客户分布类型的区域作为算例分析。结果表明,相比于纯燃油车队与纯电动车队,混合车队可为城市地区的生鲜配送节省32.9%~39.4%的总成本,为农村地区节省12.1%~21.4%的总成本,且合理的配送中心位置和充电桩布局方案能为企业、客户与环境带来更优的效益。本文为物流企业根据配送区域特点制定合理的车队配置及路径方案,为政府进行末端冷链配送中心选址与电动冷藏车充电设施布局提供了理论参考,进一步促进了冷链物流绿色转型。

关键词: 物流工程, 电动车辆路径问题, 蚁群算法, 生鲜配送, 混合车队

Abstract: The logistics industry is undergoing a rapid green transformation. Logistics companies increasingly employ mixed fleets consisting of both fuel-powered refrigerated trucks and electric refrigerated trucks for fresh food distribution. Taking into account environmental benefits, enterprise benefits, customer satisfaction, and fresh product characteristics, this paper establishes a fresh distribution route optimization model for mixed fleets. To illustrate the model, we analyze two distinct customer distribution scenarios: urban and rural areas. The results reveal significant cost savings when compared to pure fuel or pure electric vehicle fleets. In urban areas, the mixed fleet reduces total distribution costs by 32.9% to 39.4% , and in rural areas, by 12.1% to 21.4% . Furthermore, strategic placement of distribution centers and charging stations not only benefits enterprises but also enhances customer satisfaction and contributes positively to the environment. This paper provides as a valuable theoretical reference for logistics enterprises when determining fleet configurations and route planning tailored to specific distribution area characteristics. It also provides theoretical insights for government decision-makers when selecting locations for terminal cold chain distribution centers and designing electric refrigerated truck charging facilities, further advancing the green transformation of cold chain logistics.

Key words: logistics engineering, electric vehicle routing problem, ant colony algorithm, fresh food distribution, mixed fleets

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