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A parcel network flow approach for joint delivery networks using parcel lockers

机译:使用宗地储物柜的联合交付网络的包裹网络流法方法

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摘要

Current courier networks in metropolitan areas are characterised by utilising fleets of vans that perform collection and distribution routes independently. This results in long stem distances, low load factors and high environmental costs. Joint delivery systems have the potential to reduce the distances of pick-up and drop-off routes. In this context, parcel lockers can be utilised to transfer goods between vans, electrical vehicles and bikes to improve the efficiency and sustainability of courier networks. This paper presents a model for designing joint delivery networks in urban areas by utilising parcel lockers. This model has a two-level structure: the lower level dealing with multi-depot capacitated vehicle routing problems (MDCVRP) for a set of depots and lockers whilst the upper level being a (minimum-cost) parcel network flow problem (PNFP) considering goods delivered between depots and lockers and the selection of lockers' positions and sizes. A hybrid algorithm integrating a Genetic Algorithm with the Lin-Kernighan Heuristic has been developed. The GA focuses on finding solutions for the PNFP. Once the paths of parcel flow are determined, the LKH optimises vehicle flow. This paper is the first to consider the use of parcel lockers for business-to-business networks in the form of MDCVRP.
机译:大都市地区的当前快递网络的特点是利用单独执行收集和配送路线的货车车队。这导致长杆距离,低负荷因子和高环境成本。联合递送系统有可能降低拾取路线的距离。在这种情况下,包裹储物柜可用于转移货车,电动车辆和自行车之间的商品,以提高快递网络的效率和可持续性。本文提出了一种利用包裹储物柜在城市地区设计联合交付网络的模型。该模型具有两级结构:对多仓电容车辆路由问题(MDCVRP)的较低级别用于一组仓库和储物仪,同时考虑到(最小成本)包裹网络流量问题(PNFP)仓库和储物柜之间提供的商品以及选择储物柜的位置和尺寸。已经开发了一种与Lin-Kernighan启发式遗传算法集成的混合算法。 GA专注于找到PNFP的解决方案。一旦确定了包裹流的路径,LKH就优化了车辆流量。本文是首批考虑以MDCVRP的形式使用包裹储物柜的商业网络的使用。

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