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
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;
Conference_Titel :
Cybernetics and Intelligent Systems (CIS), 2010 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-6499-9
DOI :
10.1109/ICCIS.2010.5518545