{"title":"基于集线器端口的馈线路由鲁棒优化模型","authors":"Xiaoling Huang, Huanping Chen, Lufeng Liu, Jihong Chen","doi":"10.5325/transportationj.59.3.0279","DOIUrl":null,"url":null,"abstract":"Abstract:This article determines one reasonable feeder-line routing for a containership fleet performing pickup and deliveries between the hub ports and spoke ports. It first analyzes the relationship between the hub port and feeder lines and then investigates how to design robust feeder lines routing. A robust optimization model with pickup, deliveries, and time deadlines is built. Improved genetic algorithms are used to solve the model. Results show that the robust optimization model can improve the robustness of the feeder lines routing and reduce the investment risk caused by the uncertainty in the feeder network design.","PeriodicalId":46529,"journal":{"name":"Transportation Journal","volume":"59 1","pages":"279 - 303"},"PeriodicalIF":1.1000,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robust Optimization Model of Feeder Lines Routing Based on the Hub Port\",\"authors\":\"Xiaoling Huang, Huanping Chen, Lufeng Liu, Jihong Chen\",\"doi\":\"10.5325/transportationj.59.3.0279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract:This article determines one reasonable feeder-line routing for a containership fleet performing pickup and deliveries between the hub ports and spoke ports. It first analyzes the relationship between the hub port and feeder lines and then investigates how to design robust feeder lines routing. A robust optimization model with pickup, deliveries, and time deadlines is built. Improved genetic algorithms are used to solve the model. Results show that the robust optimization model can improve the robustness of the feeder lines routing and reduce the investment risk caused by the uncertainty in the feeder network design.\",\"PeriodicalId\":46529,\"journal\":{\"name\":\"Transportation Journal\",\"volume\":\"59 1\",\"pages\":\"279 - 303\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2020-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.5325/transportationj.59.3.0279\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Journal","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.5325/transportationj.59.3.0279","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MANAGEMENT","Score":null,"Total":0}
Robust Optimization Model of Feeder Lines Routing Based on the Hub Port
Abstract:This article determines one reasonable feeder-line routing for a containership fleet performing pickup and deliveries between the hub ports and spoke ports. It first analyzes the relationship between the hub port and feeder lines and then investigates how to design robust feeder lines routing. A robust optimization model with pickup, deliveries, and time deadlines is built. Improved genetic algorithms are used to solve the model. Results show that the robust optimization model can improve the robustness of the feeder lines routing and reduce the investment risk caused by the uncertainty in the feeder network design.
期刊介绍:
Transportation Journal is devoted to the publication of articles that present new knowledge relating to all sectors of the supply chain/logistics/transportation field. These sectors include supply chain/logistics management strategies and techniques; carrier (transport firm) and contract logistics firm (3PL and 4PL) management strategies and techniques; transport economics; regulation, promotion, and other dimensions of public policy toward transport and logistics; and education.