Location-Allocation Model of Logistics Distribution Network of Fast Fashion Products in Mature Period
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摘要: 为解决快速时尚品在成熟期网络销售过程中的物流节点选址与分配问题,以分销网络收益最大化作为决策目标,考虑销售策略及提前期约束的影响,构建了由4个参与方和4层物流设施构成的快速时尚品物流分销网络的多周期非线性混合整数规划模型,并采用遗传算法确定产品折扣率以及中央仓库、第三方物流企业和自取点的选址、分配及服务方案.算例结果表明:当折扣率为0.687时,物流分销网络总收益最大;当集货期大于等于2 d时,物流分销网络总收益的增长率迅速减小.Abstract: In order to solve the logistics network location-allocation problem of fast fashion products in mature period of e-commerce retailing, a multi-period non-liner mixed integer programming model was proposed for the fast fashion products' logistics distribution network consisting of four parties and four layers. In this model, the maximization of profit is taken as the optimization objective, sales strategy and controllable lead time are taken into account, and the genetic algorithm is adopted to achieve the discount rate and the locations, allocations and service plans of warehouses, third party logistics enterprises and pickup spots. The case study results illustrate that when the discount rate is 0.687, the total profit of a logistics distribution network reaches the maximum value, and when the gathering time is not less than 2 d, the growth rate of the total profit decreases rapidly.
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