{"title":"航海人员调度的GRASP:真实案例","authors":"Mohamed Haykal Ammar, M. Benaissa, H. Chabchoub","doi":"10.1109/ICADLT.2013.6568497","DOIUrl":null,"url":null,"abstract":"The human resources represent the key performance of each component of the supply chain. In this context and in order to optimize these resources, this work deals with a problem of seafaring staff scheduling through the proposal of a mathematic formulation of this problem and an interactive decision support that is based on two approximate methods. It should be noted that the results was approved through a real data case collected from a maritime company called SONOTRAK.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"GRASP for seafaring staff scheduling: Real case\",\"authors\":\"Mohamed Haykal Ammar, M. Benaissa, H. Chabchoub\",\"doi\":\"10.1109/ICADLT.2013.6568497\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The human resources represent the key performance of each component of the supply chain. In this context and in order to optimize these resources, this work deals with a problem of seafaring staff scheduling through the proposal of a mathematic formulation of this problem and an interactive decision support that is based on two approximate methods. It should be noted that the results was approved through a real data case collected from a maritime company called SONOTRAK.\",\"PeriodicalId\":269509,\"journal\":{\"name\":\"2013 International Conference on Advanced Logistics and Transport\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Advanced Logistics and Transport\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICADLT.2013.6568497\",\"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.2013.6568497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The human resources represent the key performance of each component of the supply chain. In this context and in order to optimize these resources, this work deals with a problem of seafaring staff scheduling through the proposal of a mathematic formulation of this problem and an interactive decision support that is based on two approximate methods. It should be noted that the results was approved through a real data case collected from a maritime company called SONOTRAK.
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