{"title":"Decision onRegional Logistics Network Based on H-S and P-P Network: Taking Tobacco Transportation Logistics as anExample","authors":"Wang Bangjun, Wei Yixi, Ji Feng, Zhu Wei, Yu Pan","doi":"10.18001/trs.7.6.24","DOIUrl":null,"url":null,"abstract":"Objectives: The logistics hub construction has always been the short board of logistics network planning in China. In order to improve the decision-making efficiency of logistics enterprise’s hub selection and reduce its comprehensive operation cost, this paper establishes\n a cost difference model for hub-and-spoke(H-S) and point-to-point(P-P) networks considering the fixed cost of hubs, transportation and route costs based on the 0-1 integer nonlinear programming. The model aims at minimizing the cost difference between the two networks, and divides the fixed\n cost of the hubs into three situations: full lease, lease and self-built, and fully self-built. Finally, this paper takes tobacco transportation logistics as an example, and use particle swarm algorithm to solve the model by using tobacco transportation logistics data of a logistics enterprise\n in Jiangsu Province. The results show that: (i) in the case of complete leasing, the total cost of the H-S network decreases with the increase of the number of hubs, and the cost change has a point of intersection with the total cost of the P-P network;(ii) when the lease and self-build are\n mixed, the increase is first reduced and then increased, it is U-shaped and has a minimum value, and there are two intersections with the total cost of the P-P network;(iii) the situation of completely self-built and fully leased is just the opposite. This paper takes tobacco transportation\n logistics as a representative, and provides a reference for logistics companies to choose the appropriate regional logistics network structure and different pivot points.","PeriodicalId":48513,"journal":{"name":"Tobacco Regulatory Science","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tobacco Regulatory Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.18001/trs.7.6.24","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: The logistics hub construction has always been the short board of logistics network planning in China. In order to improve the decision-making efficiency of logistics enterprise’s hub selection and reduce its comprehensive operation cost, this paper establishes
a cost difference model for hub-and-spoke(H-S) and point-to-point(P-P) networks considering the fixed cost of hubs, transportation and route costs based on the 0-1 integer nonlinear programming. The model aims at minimizing the cost difference between the two networks, and divides the fixed
cost of the hubs into three situations: full lease, lease and self-built, and fully self-built. Finally, this paper takes tobacco transportation logistics as an example, and use particle swarm algorithm to solve the model by using tobacco transportation logistics data of a logistics enterprise
in Jiangsu Province. The results show that: (i) in the case of complete leasing, the total cost of the H-S network decreases with the increase of the number of hubs, and the cost change has a point of intersection with the total cost of the P-P network;(ii) when the lease and self-build are
mixed, the increase is first reduced and then increased, it is U-shaped and has a minimum value, and there are two intersections with the total cost of the P-P network;(iii) the situation of completely self-built and fully leased is just the opposite. This paper takes tobacco transportation
logistics as a representative, and provides a reference for logistics companies to choose the appropriate regional logistics network structure and different pivot points.