Title :
Hierarchical Business Process Clustering
Author :
Jung, Jae-Yoon ; Bae, Joonsoo ; Liu, Ling
Author_Institution :
Dept. of Ind. Eng., Kyung Hee Univ., Seoul
Abstract :
Business process is collection of standardized and structured tasks inducing value creation of a company. Nowadays, it is recognized as one of significant intangible business assets to achieve competitive advantages. This research introduces a novel approach of business process analysis, which has more and more significance as process-aware information systems are spreading widely over a lot of companies. In this paper, a methodology of business process clustering based on process similarity is illustrated. The purpose of business process clustering is to analyze accumulated process models in order to assist design of new processes and reengineering of existing ones. The proposed methodology exploits structural similarity metrics of business processes. The methodology is illustrated with synthetic process models of insurance processes.
Keywords :
business data processing; business process re-engineering; information systems; insurance data processing; pattern clustering; business assets; business process analysis; business processes reengineering; competitive advantages; hierarchical business process clustering; insurance processes; process-aware information systems; Business process re-engineering; Companies; Computer industry; Industrial engineering; Information analysis; Information systems; Insurance; Knowledge management; Management information systems; Process design; Business Process; Clustering; Process Similarity;
Conference_Titel :
Services Computing, 2008. SCC '08. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-0-7695-3283-7
DOI :
10.1109/SCC.2008.69