计算机集成制造系统 ›› 2016, Vol. 22 ›› Issue (第4期): 1139-1147.DOI: 10.13196/j.cims.2016.04.028

• 产品创新开发技术 • 上一篇    下一篇

网购城市配送多容量终端选址与多车型路径集成优化

周林1,林云1,2,王旭1,2,赵泉午3   

  1. 1.重庆大学机械传动国家重点实验室
    2.重庆大学现代物流重庆市重点实验室
    3.重庆大学经济与工商管理学院
  • 出版日期:2016-04-30 发布日期:2016-04-30
  • 基金资助:
    国家科技支撑计划资助项目(2015BAH46F01,2015BAF05B03);重庆市科技攻关计划资助项目(CSTC 2014yykfA40006,2015yykfC60002);中央高校基本科研业务费资助项目 (CDJZR 14110001,CDJZR 13110048,106112015CDJSK02JD05,CQDXWL-2012-Z019);高等学校博士学科点专项科研基金资助项目(20130191110045)。

Integrated optimization for multiclass terminal location-heterogeneous vehicle routing of urban distribution under online shopping

  • Online:2016-04-30 Published:2016-04-30
  • Supported by:
    Project supported by the National Key Technology R&D Program,China(No.2015BAH46F01,2015BAF05B03),the Chongqing Science and Technology Research Program,China(No.CSTC 2014yykfA40006,2015yykfC60002),the  Fundamental Research Funds for the Central Universities,China(No.CDJZR 14110001,CDJZR 13110048,106112015CDJSK02JD05,CQDXWL-2012-Z019),and the Specialized Research Fund for the Doctoral Program of Higher Education,China(No.20130191110045).

摘要: 针对网购物流城市末端配送个性化配送服务需求,分析了末端交付系统的特点,建立了送货上门与客户自提二元需求模型,并引入针对客户群的车辆路径近似连续模型。建立了集送货上门和客户自提于一体的多容量终端选址—多车型路径集成优化模型,并设计一种先“多容量选址—分配”再“多车型路径”的两阶段模拟退火启发式算法。通过末端交付系统不同配置方案对比与算例仿真,验证了模型及算法的实用性与有效性。

关键词: 最后一公里配送, 多容量终端选址&mdash, 多车型路径, 两阶段启发式算法, 模拟退火

Abstract: To meet the personalized urban delivery needs of customers under online shopping,a delivery demand model took both Home Delivery (HD) and Customer's Pickup (CP) services into consideration was built by analyzing the characteristics of last mile delivery system,and an approximate continuous model for vehicle routing in customer group was also introduced.An integrated multiclass terminal location-heterogeneous vehicle routing optimization model was formulated,and a two-phase heuristics simulated annealing algorithm named “multiclass terminal selection and location before heterogeneous vehicle routing” was proposed for solving the proposed model.The practicability and validity of the model and algorithm were tested by examples of the last mile delivery system.

Key words: last mile delivery, multiclass terminal location-heterogeneous vehicle routing, two-phase heuristics algorithm, simulated annealing.

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