• DocumentCode
    3158166
  • Title

    BPM exception monitoring based on process knowledge

  • Author

    Yaxiong, Tao ; Zhen, Xu ; Huibin, Xu

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Shanghai Normal Univ., Shanghai, China
  • fYear
    2010
  • fDate
    28-30 June 2010
  • Firstpage
    279
  • Lastpage
    284
  • 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 “WebSphere 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.
  • Keywords
    business data processing; knowledge management; BPM exception monitoring; WebSphere business integration; business process management system; enterprise business process; process knowledge; Data mining; Educational institutions; Engineering management; Globalization; Knowledge engineering; Knowledge management; Monitoring; Predictive models; Process design; Research and development management; exception handling; monitor; panel; process knowledge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems (CIS), 2010 IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-6499-9
  • Type

    conf

  • DOI
    10.1109/ICCIS.2010.5518545
  • Filename
    5518545