Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.487
As an important part of business process management, continuous improvement is a crucial factor determining the enterprises' capability of keeping competition in rapidly changing marketplace. In this paper, we integrate the data mining technology into the workflow management system to find out the tacit business process knowledge, and put forward the concept of Workflow Mining. Based on this foundation, business process continuous improvement framework on workflow historical process information mining is proposed. It includes four levels: historical information acquisition, performance evaluation, structural defects identification and generation of improved model. Key techniques of each layer are discussed, and prototype system is developed to support the implementation of this method. Enterprise application shows that this system has strong flexibility and extensibility, and its structure is reasonable.
continuous process improvement, workflow management, data mining
Ali Yang, Tao Xue, Liang Chen, "Business Process Continuous Improvement System Based on Workflow Mining Technology", Computer Science and Information Engineering, World Congress on, vol. 05, no. , pp. 414-418, 2009, doi:10.1109/CSIE.2009.487