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An integrated modeling method for collaborative vehicle routing: Facilitating the unmanned micro warehouse pattern in new retail

机译：合作车辆路由的集成建模方法：促进新零售中无人微仓库模式

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This study focuses on horizontal collaboration and addresses a collaborative multi-center vehicle routing problem (CMCVRP) deriving from the unmanned micro warehouse pattern in new retail in China. In the CMCVRP, suppliers form a coalition to reduce their operating costs and improve service levels. Traditional approaches cannot coordinate the interests of all decision subjects in this process. To fill this gap, an integrated modeling method is proposed considering the objectives at both coalition and partner levels. In the model, two constraints are presented to guarantee the interests of all decision subjects. The constraint at the coalition level defines the acceptable region of solutions to ensure the efficiency of the coalition. And the constraint at the partner level limits the difference among partners' benefits to avoid excessive profit imbalance in the alliance. After that, a metaheuristic algorithm called the non-dominated sorting genetic algorithm-large neighborhood search is proposed to solve the model. Numerical experiments are conducted on thirty instances with three kinds of logistics networks, and the integrated method is compared with an existing approach (centralized method). The results show that the integrated method has a better performance to coordinate the benefits of all decision makers when forming the coalition than the centralized method. Also, the impact of the network structures in the collaboration on the performance of the integrated method is investigated, and the conclusions can provide guidance for suppliers to choose their cooperators.
机译：本研究侧重于水平协作，并解决了从中国新零售中的无人微仓库模式中获得的协同多中心车辆路由问题（CMCVRP）。在CMCVRP中，供应商组建一个联盟，以降低运营成本并提高服务水平。传统方法无法协调此过程中所有决策科目的利益。为了填补这一差距，建议考虑到联盟和合作伙伴级别的目标的综合建模方法。在模型中，提出了两个约束，以保证所有决策科目的利益。联盟级别的约束定义了保证联盟效率的可接受的解决方案区域。伙伴级别的约束限制了合作伙伴利益之间的差异，以避免联盟中的过度利润不平衡。之后，提出了一种称为非主导分类遗传算法的成群质算法 - 大邻域搜索来解决模型。数值实验在具有三种物流网络的三十个实例上进行，并将综合方法与现有方法（集中方法）进行比较。结果表明，当形成联盟时，综合方法具有更好的性能，以协调所有决策者的益处而不是集中方法。此外，研究了网络结构在对集成方法性能的协作中的影响，结论可以为供应商选择合作者提供指导。

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