This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 WRI World Congress on Computer Science and Information Engineering
Business Process Continuous Improvement System Based on Workflow Mining Technology
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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.
Index Terms:
continuous process improvement, workflow management, data mining
Citation:
Liang Chen, Tao Xue, Ali Yang, "Business Process Continuous Improvement System Based on Workflow Mining Technology," csie, vol. 5, pp.414-418, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.