中山大学学报(自然科学版) ›› 2020, Vol. 59 ›› Issue (4): 89-97.doi: 10.13471/j.cnki.acta.snus.2019.03.30.2019B031

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联合配送外包策略的定位运输问题 

靳文舟, 朱子轩, 巫威眺, 李婷   

  1. 华南理工大学土木与交通学院,广东 广州 510640
  • 收稿日期:2019-03-30 出版日期:2020-07-25 发布日期:2020-07-25
  • 通讯作者: 巫威眺(1987年生),男;研究方向:交通运输规划与管理;E-mail:ctwtwu@scut.edu.cn
  • 作者简介:靳文舟(1960年生),男;研究方向:交通运输规划与管理;E-mail:ctwzhjin@scut.edu.cn

Location routing problem with outsourcing strategy 

JIN Wenzhou, ZHU Zixuan, WU Weitiao, LI Ting   

  1. School of Civil and Transportation EngineeringSouth China University of TechnologyGuangzhou 510640China
  • Received:2019-03-30 Online:2020-07-25 Published:2020-07-25

摘要: 文章提出联合外包策略的定位运输规划模型,以期通过部分车辆任务外包减少物流系统成本。考虑实际运营中的时间窗等限制条件,以及自送和外包运输成本构成,通过联合优化配送中心选址和车辆路径决策,构建了最小化物流网络总成本的模型,包括自营车辆固定成本和可变运输成本、配送中心建设的固定成本,以及外包配送的运输成本。根据问题的特征设计了遗传算法的分段编码方法。通过仿真算例,将所提出的策略与传统全部自送和全部外包运营模式进行比较。结果表明,通过部分车辆任务外包可以有效减少自送的额外成本和配送中心建设成本,从而降低系统成本,在该仿真算例中该策略较完全自送模式成本降低了8.08%,较完全外包模式成本降低了25.03%,最后通过敏感性分析考察了不同外包价格对系统决策的影响。

关键词: 交通运输经济, 定位运输线路规划, 外包策略, 时间窗, 遗传算法

Abstract:  The rapid development of logistics outsourcing has brought new opportunities for the supply chain integration design. This paper proposes a location routing problem planning model with the outsourcing strategy, with the objective to reduce the logistics system cost via partially outsourcing vehicle tasks. Considering the constraints in actual operation such as time windows, and the composition of self-delivery and outsourcing transportation costs, we develop a model to minimize the total cost of the logistics network by a jointly optimizing the distribution of facility locations and vehicle routing decision. The system includes fixed cost of self-vehicle and variable transportation costs, the fixed costs of distribution center construction, and the transportation costs of outsourcing. According to the characteristics of the problem, the hierarchical coding method is designed for genetic algorithm. Through the simulation example, the proposed strategy is compared with the traditional complete self-delivery and outsourcing operation mode. The results show that the proposed strategy could effectively reduce the additional cost of self-delivery and the construction cost of the distribution center, thus reducing the system cost. Our proposed is experimentally proved to reduce the system cost by 8.08% and 25.03% compared to the complete self-delivery and outsourcing operation mode, respectively. Finally, the impact of different outsourcing price on the systematic decisions is investigated by sensitivity analysis.

Key words: transportation economy,  , location routing problem,  , outsourcing distribution,  , time window,  , genetic algorithm

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