{"title":"Decision support system for dynamic production scheduling","authors":"J. Marinho, A. Bragança, C. Ramos","doi":"10.1109/ISATP.1999.782995","DOIUrl":null,"url":null,"abstract":"This paper presents a system to support decision-making of the production manager when scheduling the manufacturing orders. This system is mainly appropriate for small and medium size enterprises with productive systems like batch or job-shop. The manufacturing orders are dynamically scheduled considering namely deadlines and resource allocation. The system combines three modules: pre-scheduling, dynamic scheduling and re-scheduling. Each module applies heuristics to select the best solutions depending on the scheduling policies defined by the production manager.","PeriodicalId":326575,"journal":{"name":"Proceedings of the 1999 IEEE International Symposium on Assembly and Task Planning (ISATP'99) (Cat. No.99TH8470)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1999 IEEE International Symposium on Assembly and Task Planning (ISATP'99) (Cat. No.99TH8470)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISATP.1999.782995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This paper presents a system to support decision-making of the production manager when scheduling the manufacturing orders. This system is mainly appropriate for small and medium size enterprises with productive systems like batch or job-shop. The manufacturing orders are dynamically scheduled considering namely deadlines and resource allocation. The system combines three modules: pre-scheduling, dynamic scheduling and re-scheduling. Each module applies heuristics to select the best solutions depending on the scheduling policies defined by the production manager.