{"title":"具有优先约束的船舶集装箱运输调度问题","authors":"E. Nishimura, Koichi Shintani, A. Imai","doi":"10.1109/IEEM.2018.8607374","DOIUrl":null,"url":null,"abstract":"CO2 occupies over 90% of artificially emitted the Greenhouse Gas (GHG). As related in CO2 emission from road traffic, we focus on a vehicle routing for marine container transport. There are three container conditions: inbound trip, outbound trip and empty condition. And also there are two situations for vehicles: trailer truck (with full or empty container loaded) and empty truck (as tractor only). In this study, we address the tractor head assignment to trailers (chassis) with full/empty container with considering the precedence constraints for visiting customers, as to minimize CO2 emissions. As the computational results, there are around 25 % reductions of CO2 emissions in our proposed MIP model.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vehicle Dispatch Problem with Precedence Constraints for Marine Container Drayage\",\"authors\":\"E. Nishimura, Koichi Shintani, A. Imai\",\"doi\":\"10.1109/IEEM.2018.8607374\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CO2 occupies over 90% of artificially emitted the Greenhouse Gas (GHG). As related in CO2 emission from road traffic, we focus on a vehicle routing for marine container transport. There are three container conditions: inbound trip, outbound trip and empty condition. And also there are two situations for vehicles: trailer truck (with full or empty container loaded) and empty truck (as tractor only). In this study, we address the tractor head assignment to trailers (chassis) with full/empty container with considering the precedence constraints for visiting customers, as to minimize CO2 emissions. As the computational results, there are around 25 % reductions of CO2 emissions in our proposed MIP model.\",\"PeriodicalId\":119238,\"journal\":{\"name\":\"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEM.2018.8607374\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM.2018.8607374","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vehicle Dispatch Problem with Precedence Constraints for Marine Container Drayage
CO2 occupies over 90% of artificially emitted the Greenhouse Gas (GHG). As related in CO2 emission from road traffic, we focus on a vehicle routing for marine container transport. There are three container conditions: inbound trip, outbound trip and empty condition. And also there are two situations for vehicles: trailer truck (with full or empty container loaded) and empty truck (as tractor only). In this study, we address the tractor head assignment to trailers (chassis) with full/empty container with considering the precedence constraints for visiting customers, as to minimize CO2 emissions. As the computational results, there are around 25 % reductions of CO2 emissions in our proposed MIP model.