{"title":"The Design of Hybrid Hub-and-spoke Networks for Large-scale Dynamic Express Logistics: A Case Study of Chinese Express*","authors":"Yue Li, Zilong Zhuang, W. Qin","doi":"10.1109/CASE49439.2021.9551642","DOIUrl":null,"url":null,"abstract":"With the continuous growth of express demand, the impact of its fluctuations is becoming more and more significant. The traditional H&S networks cannot respond intelligently to the demand changes. Therefore, a new network design method combining information and automation needs to be developed urgently. This paper considers a multi-hub version and proposes a hybrid network to dynamically design the hubs' locations and the straight connections between nodes. A mixed integer linear programming model is formulated, and a two-stage genetic algorithm is developed to solve the small and large-scale instances of the hybrid H&S network design problem. The MILP and heuristic algorithm are tested on instances provided by an express delivery giant from China. Experimental results verify the effectiveness and economy of the hybrid H&S network and the ability of the proposed heuristic algorithm to quickly find the approximate optimal solution.","PeriodicalId":232083,"journal":{"name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE49439.2021.9551642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
With the continuous growth of express demand, the impact of its fluctuations is becoming more and more significant. The traditional H&S networks cannot respond intelligently to the demand changes. Therefore, a new network design method combining information and automation needs to be developed urgently. This paper considers a multi-hub version and proposes a hybrid network to dynamically design the hubs' locations and the straight connections between nodes. A mixed integer linear programming model is formulated, and a two-stage genetic algorithm is developed to solve the small and large-scale instances of the hybrid H&S network design problem. The MILP and heuristic algorithm are tested on instances provided by an express delivery giant from China. Experimental results verify the effectiveness and economy of the hybrid H&S network and the ability of the proposed heuristic algorithm to quickly find the approximate optimal solution.