DocumentCode :
3338608
Title :
Two-stage Process Analysis Using the Process-based Performance Measurement Framework and Process Simulation
Author :
Han, Kwan Hee ; Kang, Jin Gu
Author_Institution :
Gyeongsang Nat. Univ., Gyeongsan
fYear :
2007
fDate :
20-22 Aug. 2007
Firstpage :
31
Lastpage :
37
Abstract :
In the diagnosis phase of business process management (BPM), the operational processes are analyzed to identify problems and to find things that can be improved. And in the process design phase of BPM, to-be process is newly designed and analyzed. Proposed in this paper is a two-stage process analysis for process (re)design using the process-based performance measurement framework (PPMF) and process simulation. A two-stage process analysis consists of macro analysis and micro analysis. The most influencing business process on specific strategic level KPI is selected at the macro analysis stage. Afterwards, the performance of selected process is reviewed, and new to-be process is redesigned. The performance prediction of new process is conducted using process simulation at the micro analysis stage. By using the proposed two-stage process analysis, company practitioners involved in the process innovation can easily and efficiently find the most influencing processes upon enterprise strategy, and evaluate the performance prediction of newly designed process.
Keywords :
business data processing; business process management; key performance indicator; macroanalysis stage; microanalysis stage; process simulation; process-based performance measurement framework; Analytical models; Application software; Area measurement; Business process re-engineering; Conference management; Engineering management; Performance analysis; Process design; Software engineering; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Research, Management & Applications, 2007. SERA 2007. 5th ACIS International Conference on
Conference_Location :
Busan
Print_ISBN :
0-7695-2867-8
Type :
conf
DOI :
10.1109/SERA.2007.130
Filename :
4296914
Link To Document :
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