{"title":"集装箱码头物流优化决策支持模型的开发","authors":"Zoubeir Zeinebou, A. BenAbdelhafid","doi":"10.1109/ICADLT.2013.6568496","DOIUrl":null,"url":null,"abstract":"In this paper we propose a model of decision support to optimize the physical flow of the supply chain port. The physical flow, considered here, is a group of containers. To optimize these flows, we have developed a mathematical model proposing an allocation of incoming vessels on the waterfront in a way to minimize the total distance traveled by containers loaded / unloaded in the port area. This model was solved by using a genetic algorithm. Calculation results are presented and compared with those obtained by a commercial solver (CPLEX).","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Development of a model of decision support for optimization of physical flows in a container terminal\",\"authors\":\"Zoubeir Zeinebou, A. BenAbdelhafid\",\"doi\":\"10.1109/ICADLT.2013.6568496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a model of decision support to optimize the physical flow of the supply chain port. The physical flow, considered here, is a group of containers. To optimize these flows, we have developed a mathematical model proposing an allocation of incoming vessels on the waterfront in a way to minimize the total distance traveled by containers loaded / unloaded in the port area. This model was solved by using a genetic algorithm. Calculation results are presented and compared with those obtained by a commercial solver (CPLEX).\",\"PeriodicalId\":269509,\"journal\":{\"name\":\"2013 International Conference on Advanced Logistics and Transport\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Advanced Logistics and Transport\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICADLT.2013.6568496\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Advanced Logistics and Transport","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICADLT.2013.6568496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a model of decision support for optimization of physical flows in a container terminal
In this paper we propose a model of decision support to optimize the physical flow of the supply chain port. The physical flow, considered here, is a group of containers. To optimize these flows, we have developed a mathematical model proposing an allocation of incoming vessels on the waterfront in a way to minimize the total distance traveled by containers loaded / unloaded in the port area. This model was solved by using a genetic algorithm. Calculation results are presented and compared with those obtained by a commercial solver (CPLEX).
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