{"title":"铁路集装箱承运人订舱控制问题的渐近最优性","authors":"Chengxuan Cao, Ziyou Gao, Keping Li","doi":"10.1109/ICIEEM.2009.5344559","DOIUrl":null,"url":null,"abstract":"In this paper, we consider the freight booking control problem for the rail container carrier. The problem is formulated as a stochastic optimization problem to set freight booking limits for maximizing the total revenue generated by all accepted bookings. We derive the fluid limit of the problem under the optimal booking control policy.","PeriodicalId":6326,"journal":{"name":"2009 16th International Conference on Industrial Engineering and Engineering Management","volume":"103 1","pages":"415-419"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Asymptotic optimality of freight booking control problem for the rail container carrier\",\"authors\":\"Chengxuan Cao, Ziyou Gao, Keping Li\",\"doi\":\"10.1109/ICIEEM.2009.5344559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider the freight booking control problem for the rail container carrier. The problem is formulated as a stochastic optimization problem to set freight booking limits for maximizing the total revenue generated by all accepted bookings. We derive the fluid limit of the problem under the optimal booking control policy.\",\"PeriodicalId\":6326,\"journal\":{\"name\":\"2009 16th International Conference on Industrial Engineering and Engineering Management\",\"volume\":\"103 1\",\"pages\":\"415-419\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 16th International Conference on Industrial Engineering and Engineering Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEEM.2009.5344559\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 16th International Conference on Industrial Engineering and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEEM.2009.5344559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Asymptotic optimality of freight booking control problem for the rail container carrier
In this paper, we consider the freight booking control problem for the rail container carrier. The problem is formulated as a stochastic optimization problem to set freight booking limits for maximizing the total revenue generated by all accepted bookings. We derive the fluid limit of the problem under the optimal booking control policy.