{"title":"Optimization of air freight network considering the time window of customer","authors":"Songyi Wang, F. Tao, Yuhe Shi","doi":"10.1109/ICITM.2018.8333966","DOIUrl":null,"url":null,"abstract":"In order to effectively reduce the air transport cost of express enterprises and meet the time window requirements of customer, based on three kinds of air freight modes-the direct transport by aircraft belly space, transfer transportation by aircraft belly space and all-cargo aircraft transfer transportation, an air freight network optimization model with minimum total transportation cost considering timeliness is established. Moreover, a hybrid genetic algorithm is designed to solve the model to choose one of the most economical and efficient transport plans. Finally, a numerical example is provided to illustrate the application of the proposed model.","PeriodicalId":341512,"journal":{"name":"2018 7th International Conference on Industrial Technology and Management (ICITM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th International Conference on Industrial Technology and Management (ICITM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITM.2018.8333966","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
In order to effectively reduce the air transport cost of express enterprises and meet the time window requirements of customer, based on three kinds of air freight modes-the direct transport by aircraft belly space, transfer transportation by aircraft belly space and all-cargo aircraft transfer transportation, an air freight network optimization model with minimum total transportation cost considering timeliness is established. Moreover, a hybrid genetic algorithm is designed to solve the model to choose one of the most economical and efficient transport plans. Finally, a numerical example is provided to illustrate the application of the proposed model.