This study investigates an Urban Logistics Network (ULN) redesign problem arising in Clothing and footwear chain retailers' O2O implementations.We built an optimization model aimed at minimizing the total city logistics cost considering online orders fragmentation,local distribution costs and other practical issues.To solve this model,we put forward an improved Lagrangian relaxation algorithm.The performance of this algorithm is verified by comparing with CPLEX.Our methodology is illustrated with the Urban Logistics Network under O2O from a leading clothing and footwear chain retailer (Daphne) in Chongqing.Numerical analysis indicates that the increase of online sales and the decrease of offline and the increased ratio of short distance distribution will lead to increasing total costs under the current structure of the stores.This study also examines the effects of changing parameter values on the optimal solutions and to points out some management implications,such retail format adjustment and store closing.%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.
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