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Vehicle Routing Problem of an Innovative B2C and O2O Joint Distribution Service

机译:创新的B2C和O2O联合分销服务的车辆路线问题

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In respond to the problem of insufficient capacity in peak hours and idle capacity in o?-peak hours of O2O delivery, the logistics industry has been challenged to minimize the total costs of both B2C and O2O delivery. Considering the high coincidence in geographical space of B2C and O2O orders, an innovative joint distribution service is proposed. This paper designs a modified C-W algorithm based on the merging of node-inserted paths to achieve the optimization of pickup and delivery problem with time windows (PDPTW). A numerical analysis is conducted to compare the independent distribution mode with the innovative joint distribution mode. The results highlight that the innovative joint distribution mode performs better than the independent distribution mode in both different order sizes and different lengths of O2O time windows, which can improve the delivery efficiency and lower the total costs.
机译:为了应对高峰时间容量不足和O2O交付高峰时段的闲置容量的问题,物流业面临着将B2C和O2O交付总成本降至最低的挑战。考虑到B2C和O2O订单的地理空间高度一致,提出了一种创新的联合分销服务。本文设计了一种基于节点插入路径合并的改进的C-W算法,以实现带有时间窗(PDPTW)的收货和发货问题的优化。进行了数值分析,以比较独立分配模式和创新联合分配模式。结果表明,创新的联合配送模式在不同的订单大小和不同的O2O时间窗口长度上均比独立配送模式表现更好,这可以提高配送效率并降低总成本。

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