{"title":"MESA: Managing work crew assignments by constraint based schedule generation","authors":"D. Gorton, S. Garlick","doi":"10.1109/ETFA.1993.396418","DOIUrl":null,"url":null,"abstract":"MESA, the Maintenance Engineering Scheduling Assistant is a system that generates assignments of repair crews to work orders on a particular date. A task analysis of the maintenance domain in steelmaking guides system design. MESA provides extensive interactive facilities for editing, maintaining and coordinating a schedule, human resources and machine downtimes. The system generates an initial schedule, using temporal constraint propagation and heuristic search techniques. The search techniques are generic and well parameterized. Some results of parameter variation are described, together with proposed extensions to allow dynamic rescheduling.<<ETX>>","PeriodicalId":239174,"journal":{"name":"Proceedings of IEEE 2nd International Workshop on Emerging Technologies and Factory Automation (ETFA '93)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE 2nd International Workshop on Emerging Technologies and Factory Automation (ETFA '93)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.1993.396418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
MESA, the Maintenance Engineering Scheduling Assistant is a system that generates assignments of repair crews to work orders on a particular date. A task analysis of the maintenance domain in steelmaking guides system design. MESA provides extensive interactive facilities for editing, maintaining and coordinating a schedule, human resources and machine downtimes. The system generates an initial schedule, using temporal constraint propagation and heuristic search techniques. The search techniques are generic and well parameterized. Some results of parameter variation are described, together with proposed extensions to allow dynamic rescheduling.<>