{"title":"多站点供应链的可用性-承诺模型","authors":"Wen Yang, R. Fung","doi":"10.1109/ICAL.2012.6308173","DOIUrl":null,"url":null,"abstract":"Available-to-promise (ATP) as a means for management of customer demands, production scheduling and the available resource has to make three main decisions: order acceptance/selection, due date assignment, and order scheduling. This research integrates the three decision-making mechanisms. A mixed integer nonlinear programming model of ATP problem is proposed to maximize the profit while satisfying customer orders at required time horizon over a multi-site supply chain scope. In order to improve efficiency, a branch-and-price approach is adopted to solve this model.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Available-to-promise model for a multi-site supply chain\",\"authors\":\"Wen Yang, R. Fung\",\"doi\":\"10.1109/ICAL.2012.6308173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Available-to-promise (ATP) as a means for management of customer demands, production scheduling and the available resource has to make three main decisions: order acceptance/selection, due date assignment, and order scheduling. This research integrates the three decision-making mechanisms. A mixed integer nonlinear programming model of ATP problem is proposed to maximize the profit while satisfying customer orders at required time horizon over a multi-site supply chain scope. In order to improve efficiency, a branch-and-price approach is adopted to solve this model.\",\"PeriodicalId\":373152,\"journal\":{\"name\":\"2012 IEEE International Conference on Automation and Logistics\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Automation and Logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAL.2012.6308173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Automation and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAL.2012.6308173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Available-to-promise model for a multi-site supply chain
Available-to-promise (ATP) as a means for management of customer demands, production scheduling and the available resource has to make three main decisions: order acceptance/selection, due date assignment, and order scheduling. This research integrates the three decision-making mechanisms. A mixed integer nonlinear programming model of ATP problem is proposed to maximize the profit while satisfying customer orders at required time horizon over a multi-site supply chain scope. In order to improve efficiency, a branch-and-price approach is adopted to solve this model.