{"title":"BPM exception monitoring based on process knowledge","authors":"Tao Yaxiong, Xu Zhen, Xu Huibin","doi":"10.1109/ICCIS.2010.5518545","DOIUrl":null,"url":null,"abstract":"As enterprise business process (BP) becomes more dynamic and flexible, business process management system (BPMS) is required to strengthen its capability to monitor the operation of BP. Referring to the monitoring mode from IBM's “Web Sphere Business Integration”, this paper proposes the idea of monitoring BP based on process knowledge (PK), that is, utilizing PK extracted from BP to assist process management and monitoring. By means of providing process management staff with real-time running data, statistical historical data and alarm notification, the response to process exception, monitoring range and the capability to predict exception in BPMS are greatly improved enabling BPMS to take actions to prevent exception and to guarantee the successful running of BP.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Conference on Cybernetics and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2010.5518545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
As enterprise business process (BP) becomes more dynamic and flexible, business process management system (BPMS) is required to strengthen its capability to monitor the operation of BP. Referring to the monitoring mode from IBM's “Web Sphere Business Integration”, this paper proposes the idea of monitoring BP based on process knowledge (PK), that is, utilizing PK extracted from BP to assist process management and monitoring. By means of providing process management staff with real-time running data, statistical historical data and alarm notification, the response to process exception, monitoring range and the capability to predict exception in BPMS are greatly improved enabling BPMS to take actions to prevent exception and to guarantee the successful running of BP.