A Multi-level Express Outlets Layout under Network Sharing and Change

doi:10.3969/j.issn.1007-7375.2021.02.020

Abstract

Abstract: Considering the diversification of customer demand, the sharing of logistics outlets and other practical problems, combined with customer satisfaction and the service efficiency function of terminal outlets, a double-level planning model of express outlet location considering the sharing of outlets, the service mode of terminal outlets and the variable capacity is constructed. According to the characteristics of the model, the genetic algorithm is adopted to solve the problem, and the initialization process of population is designed considering the node mode and capacity change. The feasibility and effectiveness of the model and algorithm are proved by an example. By comparing with the two location selection methods of considering sharing without considering change and considering change without considering share, the model considering both sharing and change is better in total system cost, customer satisfaction, network service efficiency, etc. In addition, the experimental results show that when the cost weight exceeds a certain value, the cost reduction space decreases gradually, and the speed of customer satisfaction and service efficiency decreases is faster than that of cost reduction.

Key words: multi-level facility layout, outlets sharing, service mode, satisfaction degree, genetic algorithm

CLC Number:

C931

WANG Bingyi, ZHANG Jin. A Multi-level Express Outlets Layout under Network Sharing and Change[J]. Industrial Engineering Journal, 2021, 24(2): 155-165.

References

[1] 王海花, 吴伊楠, 刘秀玲. 考虑服务半径的校园智能快递柜选址问题研究[J]. 物流工程与管理, 2018, 40(8): 91-92, 90
WANG Haihua, WU Yinan, LIU Xiuling. Study on the location of smart express boxes on campus considering service radius[J]. Logistics Engineering and Management, 2018, 40(8): 91-92, 90
[2] 陈磊. 快递同城网络布局优化研究[D]. 吉林: 吉林大学, 2016.
CHEN Lei. Study on the optimization of the network layout of express delivery in the same city[D]. Jilin: Jilin University, 2016.
[3] 韩珣, 张锦, 陈义友. 基于顾客需求异质性的多级自提点选址研究[J]. 工业工程与管理, 2017, 22(4): 23-29, 39
HAN Xun, ZHANG Jin, CHEN Yiyou. Research on multi-level self extracting site selection based on customer demand heterogeneity[J]. Industrial Engineering and Management, 2017, 22(4): 23-29, 39
[4] 周林, 林云, 王旭, 等. 网购城市配送多容量终端选址与多车型路径集成优化[J]. 计算机集成制造系统, 2016, 22(4): 1139-1147
ZHOU Lin, LIN Yun, WANG Xu, et al. Optimization of location selection and multi vehicle path integration of online shopping city distribution multi capacity terminals[J]. Computer Integrated Manufacturing System, 2016, 22(4): 1139-1147
[5] 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
YANG Pengjue, HU Hao, WANG Junjia, et al. Study on location model of urban distribution terminal network in e-commerce environment[J]. Industrial Engineering and Management, 2014, 19(1): 35-40
[6] MURALI P, ORDÓÑEZ F, DESSOUKY M M. Facility location under demand uncertainty: response to a large-scale bio-terror attack[J]. Socio-Economic Planning Sciences, 2011, 46(1): 78-87
[7] 韩珣, 张锦, 曾倩. 考虑合作覆盖的多级自提点选址问题[J]. 交通运输系统工程与信息, 2019, 19(1): 165-171
HAN Xun, ZHANG Jin, ZENG Qian. Location selection of multi-level self raised points under cooperative coverage[J]. Transportation system engineering and information, 2019, 19(1): 165-171
[8] 陈绍洵, 兰洪杰. 基于双层规划的生鲜自提柜节点选址研究[J]. 工业工程与管理, 2018, 23(6): 57-63
CHEN Shaoxun, LAN Hongjie. Study on node location of fresh self delivery cabinet based on double level planning[J]. Industrial Engineering and Management, 2018, 23(6): 57-63
[9] 张震, 李延晖, 张琦. 考虑退货的多商品多来源闭环选址库存问题模型与算法[J]. 工业工程与管理, 2018, 23(6): 133-142
ZHANG Zhen, LI Yanhui, ZHANG Qi. Model and algorithm of closed-loop location inventory problem of multi commodity and multi-source considering return[J]. Industrial Engineering and Management,, 2018, 23(6): 133-142
[10] ASL-NAJAFI J, ZAHIRI B, BOZORGI-AMIRI A, et al. A dynamic closed-loop location-inventory problem underdisruption risk[J]. Computers & Industrial Engineering, 2015, 90: 414-428
[11] HATEFI S M, JOLAI F. Robust and reliable forward–reverse logistics network design under demand uncertainty and facility disruptions[J]. Applied Mathematical Modelling, 2014, 38(9-10): 2630-2647
[12] 周林. 考虑送提一体的网购物流城市共同配送问题及算法研究[D]. 重庆: 重庆大学, 2016.
ZHOU Lin. Research on the problem and algorithm of joint distribution of online shopping logistics city considering delivery and delivery integration[D]. Chongqing: Chongqing University, 2016.

[1]	ZHANG Zhengmin, GUAN Zailin, YUE Lei. Performance Analysis of Hybrid GA Based on Lévy Flight in Flexible Job-shop Scheduling Problem [J]. Industrial Engineering Journal, 2021, 24(4): 83-92.
[2]	WANG Xiaojun, WANG Bo, JIN Minjie, YANG Chunxia, BAI Xinli. Multi AGV Scheduling Optimization of AutoStore System Based on Improved Multi Population Genetic Algorithm [J]. Industrial Engineering Journal, 2021, 24(4): 112-118,167.
[3]	WANG Yingying, WU Liyun. A Research on Multi-project Multi-skill Human Resource Scheduling Based on Improved NSGA-II [J]. Industrial Engineering Journal, 2021, 24(3): 130-138.
[4]	ZENG Chuangfeng, LIU Jianjun, CHEN Qingxin, MAO Ning. A Genetic Algorithm-Iterative Greedy Algorithm for a Kind of Unrelated Parallel Machine Scheduling Problem [J]. Industrial Engineering Journal, 2021, 24(2): 110-118.
[5]	HUANG Lu, JI Yanguang. A Bi-level Optimization Model for Logistics Distribution Center Location Problem under Customer Delay Cost [J]. Industrial Engineering Journal, 2021, 24(2): 141-147.
[6]	MA Yueru, WEN Zheng, YI Dan. Multi-objective Home-health-care Staff for the Elderly Routing Optimization Considering Elderly Satisfaction [J]. Industrial Engineering Journal, 2021, 24(1): 74-81,103.
[7]	WANG Jiuhe, GAO Hui, LIU Huan. A Research on Shared Motorcycle Scheduling Problem Based on Genetic Algorithms [J]. Industrial Engineering Journal, 2021, 24(1): 90-96.
[8]	WANG Zhen, GUO Jianquan. Research on Remanufacturing Closed-loop Supply Chain Considering Supply Disruption in Uncertain Environment [J]. Industrial Engineering Journal, 2021, 24(1): 140-146.
[9]	WU Bin, SONG Yan, CHENG Jing, DONG Min. A Research on Vehicle Routing Problems with Time Windows Based on Density Peak Clustering [J]. Industrial Engineering Journal, 2020, 23(5): 58-66,74.
[10]	WANG Sulin, QIU Feier, CHEN Fan, LIU Chuankun, LU Teng, WANG Zhiyun. A Research on Underground Logistics Node Selection Planning Based on Greedy Genetic Algorithm [J]. Industrial Engineering Journal, 2020, 23(5): 88-95.
[11]	WANG Ze, YANG Xinfeng, LIU Lanfen. A Research on Vehicle Scheduling Optimization Considering Power Consumption [J]. Industrial Engineering Journal, 2020, 23(4): 140-147.
[12]	ZENG Chuifei, LIU Jianjun, CHEN Qingxin, MAO Ning. A Comparative Study of the Algorithm of Assembly Job Shop Lot Streaming Scheduling [J]. Industrial Engineering Journal, 2020, 23(4): 174-182.
[13]	ZHANG Wei, LI Pengxiang, TONG Ziqiang, YUE Yimeng. Research on Shared Bicycle Recycling Based on Distribution Prediction of Broken Vehicles and Profit and Loss Threshold Analysis [J]. Industrial Engineering Journal, 2020, 23(3): 132-137.
[14]	ZHANG Guohui, HU Yifan, SUN Jinghe. An Improved Genetic Algorithm for Flexible Job Shop Scheduling Problem with Multiple Time Constraints [J]. Industrial Engineering Journal, 2020, 23(2): 19-25,48.
[15]	LI Teng, FENG Shan. A Research on A Random Scheduling Strategy of “Rack to Picker” Picking System [J]. Industrial Engineering Journal, 2020, 23(2): 59-66.