O2O融合下的服装鞋类连锁经营企业城市配送问题

发布时间：2018-04-30 21:25

本文选题：服装鞋类连锁经营企业 + OO转型　；参考：《管理学报》2017年04期

【摘要】：针对服装鞋类连锁经营企业实施O2O转型面临的城市配送网络优化问题,考虑线上订单碎片化、城市配送成本、库存成本等因素,以总成本最小构建城市中心店选址及末端需求点分配联合优化模型,设计改进拉格朗日松弛算法对模型进行求解,通过与CPLEX计算值对比,验证算法的有效性。以达芙妮重庆主城区核心区域O2O实践进行实例测算,研究发现:线上订单增加和线下需求减少,则当前门店结构会增加城市物流成本;短距离配送比例增加会引起成本上升;线上订单量增加导致订单平均成本上升;零售门店业态调整及关闭部分门店对企业而言是有利的。
[Abstract]:In order to solve the problem of optimization of urban distribution network faced by the implementation of O _ 2O transformation in clothing and footwear chain enterprises, the following factors are considered: online order fragmentation, urban distribution cost, inventory cost, etc. Based on the minimum total cost, a joint optimization model of location selection and terminal demand point allocation is constructed, and an improved Lagrangian relaxation algorithm is designed to solve the model. The validity of the algorithm is verified by comparing with the calculated value of CPLEX. Taking the practice of O2O in Daphne's main urban district of Chongqing as an example, it is found that the increase of online order and the decrease of offline demand will increase the logistics cost of the city, increase the proportion of short distance distribution, increase the cost. The increase in online orders led to an increase in the average cost of orders, and the readjustment and closure of some of the retail stores was beneficial to the business.
【作者单位】：重庆大学经济与工商管理学院;重庆大学机械工程学院;
【基金】：国家社会科学基金资助重点项目(14AGL023) 国家科技支撑计划资助项目(2015BAH46F01,2015BAF05B03) 重庆市社会科学规划资助项目(2015YBGL109) 重庆大学中央高校基本科研资助项目(106112016CDJXY020017)
【分类号】：F721.7;F274

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