{"title":"A Method for Multi-project with Resource Constraints Based on Greedy Strategy","authors":"Haibin Liu, Yanbing Wang","doi":"10.1109/ICAS.2009.9","DOIUrl":null,"url":null,"abstract":"Resource conflict is an outstanding problem in concurrent multiple projects with sharing a common and limited resource pool, and it often results in lower performance of these projects. Therefore, it is important and urgent to find an effective method for scheduling multiple projects with limited resources. A mathematical model for the multi-project scheduling problem with resource-constrained is proposed, and a scheduling algorithm based on greedy strategy for the problem is analyzed. Its application in real projects and comparison with other scheduling schemes proves that the algorithm is feasible.","PeriodicalId":258907,"journal":{"name":"2009 Fifth International Conference on Autonomic and Autonomous Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fifth International Conference on Autonomic and Autonomous Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAS.2009.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Resource conflict is an outstanding problem in concurrent multiple projects with sharing a common and limited resource pool, and it often results in lower performance of these projects. Therefore, it is important and urgent to find an effective method for scheduling multiple projects with limited resources. A mathematical model for the multi-project scheduling problem with resource-constrained is proposed, and a scheduling algorithm based on greedy strategy for the problem is analyzed. Its application in real projects and comparison with other scheduling schemes proves that the algorithm is feasible.