1. School of Transportation, Southeast University, Nanjing Jiangsu 210096, China;
2. School of Automobile and Transportation, Guangxi University of Science and Technology, Liuzhou Guangxi 545006, China
Optimization of Delivery Vehicle Routing for Express
QIN Yun-mei1,2, MAO Hai-jun1, HEI Xiu-ling1
1. School of Transportation, Southeast University, Nanjing Jiangsu 210096, China;
2. School of Automobile and Transportation, Guangxi University of Science and Technology, Liuzhou Guangxi 545006, China
摘要Currently, courier delivery is not efficient enough because of synchronization requirements of time and location between the courier and customer. To solve this problem, a new express delivery mode based on automatic parcel machine (APM) is proposed. Under the new delivery mode, a mathematical programming model is established to minimize the number of delivery vehicles and total vehicle mileage, considering constraint conditions such as vehicle loading capacity and specific driving order requirements for vehicles from customer demand points to their subordinate APMs. Based on the complexity of the problems and advantages and disadvantages of genetic algorithm (GA) in solving this kind of problems, the cellular genetic algorithm (CGA) is proposed. An analysis of examples shows that CGA is superior to the normal GA in terms of searching ability and efficiency, and it can solve large-scale express vehicle delivery routing problems based on APM.
Abstract:Currently, courier delivery is not efficient enough because of synchronization requirements of time and location between the courier and customer. To solve this problem, a new express delivery mode based on automatic parcel machine (APM) is proposed. Under the new delivery mode, a mathematical programming model is established to minimize the number of delivery vehicles and total vehicle mileage, considering constraint conditions such as vehicle loading capacity and specific driving order requirements for vehicles from customer demand points to their subordinate APMs. Based on the complexity of the problems and advantages and disadvantages of genetic algorithm (GA) in solving this kind of problems, the cellular genetic algorithm (CGA) is proposed. An analysis of examples shows that CGA is superior to the normal GA in terms of searching ability and efficiency, and it can solve large-scale express vehicle delivery routing problems based on APM.
覃运梅, 毛海军, 黑秀玲. 基于自动快递机的快递配送车辆路径优化研究[J]. Journal of Highway and Transportation Research and Development, 2016, 10(3): 97-104.
QIN Yun-mei, MAO Hai-jun, HEI Xiu-ling. Optimization of Delivery Vehicle Routing for Express. Journal of Highway and Transportation Research and Development, 2016, 10(3): 97-104.
[1] YAN S Y, LIN J R, LAI C W. The Planning and Real-time Adjustment of Courier Routing and Scheduling Under Stochastic Travel Times and Demands[J]. Transportation Research Part E, Logistics and Transportation Review, 2013, 53(7):34-48.
[2] CHANG T S, YEN H M. City-courier Routing and Scheduling Problems[J]. European Journal of Operational Research, 2012, 223(2):489-498.
[3] GORDOT F H, LAI C W, HAMILTON M I. International Express Courier Routing and Scheduling Under Uncertain Demands[J]. Engineering, 2001, 121(2):268-274.
[4] LI X, TIAN P, LEUNG S C H. Vehicle Routing Problems with Time Windows and Stochastic Travel and Service Times:Models and Algorithm[J]. International Journal of Production Economics, 2010, 125(1):137-145.
[5] ERMAN O, KRASS D, MENEZES M B C. Facility Reliability Issues in Network P-median Problems Strategic Centralization and Co-location Effects[J]. Operation Research,2007, 55(2):332-350.
[6] MITROVIC-MINIC S, LAPORTE G. Waiting Strategies for the Dynamic Pickup and Delivery Problem with Time Windows[J]. Transportation Research Part B:Methodological, 2004, 38(7):635-655.
[7] YANG H, NIE Y, ZHANG H, et al. Insight to the Express Transport Network[J]. Computer Physics Communications, 2009, 180(9):1511-1515.
[8] BENT R, HENTENRYCK P V. A Two-stage Hybrid Algorithm for Pickup and Delivery Vehicle Routing Problems with Time Windows[J]. Computers & Operations Research, 2006, 33(4):875-893.
[9] GAJPAL Y, ABAD P. An Ant Colony System (ACS) for Vehicle Routing Problem with Simultaneous Delivery and Pickup[J]. Computers & Operations Research, 2009, 36(12):3215-3223.
[10] CHANG T S, LIAO Y F. Routing Strategies for Integrating forward Distribution and Reverse Collection[J]. Journal of the Operational Research Society, 2011, 62(6):971-981.
[11] WEN Hui-ying, SUN Bo. Resolving Collaborative Vehicle Route Problem Based on Discrete Particle Swarm Optimization[J]. Journal of Highway and Transportation Research and Development, 2011, 28(1):149-153, 158. (in Chinese)
[12] ZHAO Jia-hong. Multi-objective Location-routing Problem in Emergency Logistics as Time Varies[J]. Journal of Highway and Transportation Research and Development,2012, 29(4):137-142, 148. (in Chinese)
[13] WANG Ya-lin, LI Kai-feng, MA Jie, et al. Application of Genetic Algorithm to Optimal Operation for Placing-in and Taking-out of Wagons at Enterprise Railway[J]. Systems Engineering, 2007, 25(3):94-99. (in Chinese)
[14] ZHU Da-lin,ZHAN Teng,ZHANG Yi, et al. Logistics Distribution Route Optimization Based on Cellular Niche Genetic Algorithm[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2013(1):121-125. (in Chinese)
[15] CHEN Hao, LI Ming, JIANG Ze-tao, et al. Evolution Cellular Genetic Algorithm for Solving Dynamic Optimization Problem[J]. Systems Engineering and Electronics,2013,35(5):1115-1121. (in Chinese)
[1]
胡宝雨, 赵琥, 孙祥龙, 王弟鑫, 刘宁. 城市公交与农村客运同步换乘模型研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 73-79.
[2]
张玲, 郝京京, 戢晓峰. 城际货物运输联系的网络特性及空间组织优化研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(1): 68-78.
[3]
梁仁鸿, 仵思燃. 公路货物运输量统计新试行方案问题分析及完善思路研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 103-110.
[4]
杜长东. 低频动态载荷理论分析及称重精度提高算法研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 105-110.
[5]
郝京京, 戢晓峰, 徐停停. 信息关注度与公交服务水平的耦合协调性测度[J]. Journal of Highway and Transportation Research and Development, 2017, 11(4): 104-110.
[6]
王文娣, 杨忠振, 李一旋. 基于旅客价值测度模型的客运市场细分及公路客运发展策略研究[J]. Journal of Highway and Transportation Research and Development, 2017, 11(1): 103-110.
[7]
魏金丽, 郭亚娟, 张萌萌. 基于集合覆盖理论的公交线路驾驶员排班优化方法[J]. Journal of Highway and Transportation Research and Development, 2016, 10(4): 96-101.
[8]
王淑云, 路荣斌, 郝秀菊. 关于提高我国危险品运输品质的思考[J]. Journal of Highway and Transportation Research and Development, 2016, 10(3): 105-110.
[9]
和豪涛, 李扬, 张正华. 基于AHP-灰色关联度的公路大件运输方案优选[J]. Journal of Highway and Transportation Research and Development, 2016, 10(2): 98-102.
[10]
王海洋. 我国公路政策可持续发展战略研究分析[J]. Journal of Highway and Transportation Research and Development, 2016, 10(2): 103-110.
[11]
戢晓峰, 普永明, 梁斐雯, 覃文文. 交通管制时限条件下城市物流配送优化双层规划模型[J]. Journal of Highway and Transportation Research and Development, 2015, 9(3): 94-101.
[12]
王淑云, 孙虹. 需求变动下的冷链品配送路径规划[J]. Journal of Highway and Transportation Research and Development, 2015, 9(2): 103-110.
[13]
李淑琴, 杨斌, 胡志华, 明惠, 周珍. 具有连续工班数量折扣的集卡车队外包决策问题[J]. Journal of Highway and Transportation Research and Development, 2014, 8(3): 96-103.
[14]
胡青蜜, 胡志华. 二级轴辐式零担物流网络设计的资源均衡利用问题[J]. Journal of Highway and Transportation Research and Development, 2014, 8(1): 101-110.