共同配送下城市快递末端网点布局研究
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摘要
城市快递末端配送服务的客户位置分散,派送时易与客户存在严重的时间冲突,并且城市快递末端共同配送中心位于市内,很难找到闲置的土地建设大型配送中心。因此提出将快递末端区域共同配送中心和自提网点设置在居民小区,基于AP算法与改进引力模型等方法对城市配送区域进行划分,并在各划分区域内确定快递末端共同配送中心的位置;运用Voronoi图对各末端网点的服务范围进行了划分。最后选取某市的实际数据作为算例,对该方法的可行性予以验证,验证结果可为该城市快递共同配送末端网点布局规划提供一种新思路。
The location of customers in the urban express delivery service is scattered and there is a serious time conflict with the customers when dispatching,and the urban express delivery terminal joint distribution center is located in the city. It is hard to find idle land to construct a large-scale distribution center. Therefore,it is proposed to set terminal joint distribution centers and the self-pick up networks in the communities. Based on the AP algorithm and improved gravity model,large-scale distribution area is divided into small zones and the location of joint distribution center is determined. The Voronoi diagram is used to divide the service scope of each terminal as well. At last,the method proposed is tested by actual data of a city and the feasibility has been verified,it can provide a new idea for the current urban express delivery joint distribution end point layout planning.
The location of customers in the urban express delivery service is scattered and there is a serious time conflict with the customers when dispatching,and the urban express delivery terminal joint distribution center is located in the city. It is hard to find idle land to construct a large-scale distribution center. Therefore,it is proposed to set terminal joint distribution centers and the self-pick up networks in the communities. Based on the AP algorithm and improved gravity model,large-scale distribution area is divided into small zones and the location of joint distribution center is determined. The Voronoi diagram is used to divide the service scope of each terminal as well. At last,the method proposed is tested by actual data of a city and the feasibility has been verified,it can provide a new idea for the current urban express delivery joint distribution end point layout planning.
引文
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[6]于晓寒,王东.基于带约束K-means聚类的城市快递配送区域划分[J].哈尔滨商业大学学报(自然科学版),2016,32(5):631-634.
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[10]李栋,高源发,孙焰.基于城市共同配送网络体的配送中心选址研究[J].综合运输,2018,39(2):78-83.
[2]杨朋珏,胡昊,王俊嘉,等.电子商务环境下城市配送末端网点选址模型研究[J].工业工程与管理,2014,19(1):35-40.
[3]CHEN D,CHEN J.Research of jit distribution center location for regional e-supermarket in ring-like area[C]∥International Conference on E-business&E-government.Guangzhou:IEEE,2010:4317-4321.
[4]JI Y,YANG H,ZHANG Y,et al.Location optimization model of regional express distribution center[J].Procedia-Social and Behavioral Sciences,2013(96):1008-1013.
[5]张漪,段梦媛.生鲜电商末端配送顾客取货点的选址决策方法[J].物流科技,2016,39(5):21-25.
[6]于晓寒,王东.基于带约束K-means聚类的城市快递配送区域划分[J].哈尔滨商业大学学报(自然科学版),2016,32(5):631-634.
[7]辛柯俊,秦中元.基于聚类算法和蚁群算法的物流配送路径优化研究[J].物流工程与管理,2014,36(6):86-90.
[8]周翔,许茂增,吕奇光.B2C模式下配送中心与末端节点的两阶段布局优化模型[J].计算机集成制造系统,2014,20(12):3140-3149.
[9]叶浔宇.基于聚类和重心法的区域配送中心选址应用研究[J].中国市场,2009,15(23):83-85.
[10]李栋,高源发,孙焰.基于城市共同配送网络体的配送中心选址研究[J].综合运输,2018,39(2):78-83.