中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2020, Vol. 39 ›› Issue (05): 25-31.DOI: 10.3969/j.issn.1674-0696.2020.05.05

• 交通运输工程 • 上一篇    下一篇

集送一体化电动物流车辆动态调度研究

陈玉莲,王涛   

  1. (广州民航职业技术学院 民航经营管理学院,广东 广州 510403)
  • 收稿日期:2018-08-21 修回日期:2019-03-26 出版日期:2020-05-26 发布日期:2020-06-18
  • 作者简介:陈玉莲(1978—),女,广东广州人,副教授,硕士,主要从事航空物流方面的研究。E-mail:24439611@qq.com。 通信作者:王涛(1979—),男,河北张家口人,副教授,硕士,主要从事航空管理方面的研究。E-mail:wangtao@caac.net。
  • 基金资助:
    2014年广东省教育厅高职教育教学改革研究资助项目(201401016);广州民航职业技术学院专业建设资助项目(ZX13205);广州民航职业技术学院教改研究资助项目(XY13104A)

Dynamic Scheduling for Electric Logistics Vehicle of Integrated Delivery and Pickup

CHEN Yulian, WANG Tao   

  1. (College of Civil Aviation Management, Guangzhou Civil Aviation College, Guangzhou 510403, Guangdong, China)
  • Received:2018-08-21 Revised:2019-03-26 Online:2020-05-26 Published:2020-06-18

摘要: 由于传统燃油物流车辆消耗不可再生能源,并造成大气污染问题,电动物流车辆(electric logistics vehicle, ELV)日益受到政府和物流企业关注。为了降低ELV的集货和配送成本,提高电动物流车辆工作效率,提出了一种基于遗传算法的集送一体化ELV动态调度模型。在集货位置随机出现,配送位置和充电位置固定的情况下,考虑服务时间、时间窗、电池续航能力和载货重量约束,设计以总物流成本最优为目标的ELV车辆调度模型,采用遗传算法对模型进行求解,进而规划出ELV出车数量、集送路径和充电导航路径。仿真结果表明:考虑集送一体化的ELV动态调度方案能有效减小物流成本,并提高ELV工作效率。

关键词: 交通运输工程, 电动物流车辆, 遗传算法, 集送一体化, 物流成本, 车辆调度

Abstract: As traditional fuel logistics vehicles consume non-renewable energy sources and cause air pollution problems, the electric logistics vehicle (ELV) is increasingly concerned by the government and logistics enterprises. In order to reduce the ELV delivery and pickup costs and improve the efficiency of the electric logistics vehicles, a dynamic scheduling model for ELV integrated delivery and pickup based on genetic algorithm was proposed. Considering service time, time window, battery endurance and cargo weight constraints, an ELV scheduling model was designed with the objective of optimizing the total logistics costs in the case of random location of goods collection, fixed delivery location and charging location. Genetic algorithm was used to solve the proposed model, and then the number of ELVs, the path of collection and delivery, and the path of charging navigation were planned.The simulation results show that a dynamic scheduling scheme for ELV integrated delivery and pickup can effectively reduce the logistics costs and improve the efficiency of ELV.

Key words: traffic and transportation engineering, electric logistics vehicle, genetic algorithm, integrated delivery and pickup, logistics costs, vehicle scheduling

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