{"title":"基于流程知识的BPM异常监控","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":"{\"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}","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
摘要
随着企业业务流程的动态性和灵活性的增强,对业务流程管理系统(BPMS)提出了加强对业务流程运行监控能力的要求。参考IBM“Web Sphere Business Integration”中的监控模式,本文提出了基于过程知识(process knowledge, PK)的BP监控思路,即利用从BP中提取的PK来辅助流程管理和监控。通过向流程管理人员提供实时运行数据、统计历史数据和报警通知,大大提高了BPMS对流程异常的响应能力、监控范围和异常预测能力,使BPMS能够采取措施预防异常,保证BP的成功运行。
BPM exception monitoring based on process knowledge
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.