Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9652
Title: Real-time process mining system for supply chain network: OLAP-based fuzzy approach
Authors: Ho, GTS
Lau, HCW
Lee, CKM
Ip, AWH 
Issue Date: 2008
Publisher: Inderscience Publishers
Source: International journal of enterprise network management, 2008, v. 2, no. 1, p. 84-103 How to cite?
Journal: International journal of enterprise network management 
Abstract: Currently, companies active in the development of high-tech products have become more and more complex in the age of mass customisation. Not only do they have to focus on improving product quality, but rather on gaining experience to modify the current processes in order to streamline the integrated workflow. A Real-time Process Mining System (R-PMS) is developed to analyse the proposed XML-based process data for discovering the hidden relationships among processes. The new feature of this system is the incorporation of the process mining engine, which is characterised by the combined capabilities of the Online Analytical Processing (OLAP) and Fuzzy Logic (FL), to form a robust framework for highlighting the undesirable process setting and parameters for further improvement in a real-time manner. The simulation results indicated that the OLAP-based fuzzy approach was generally superior to those of conventional methods which offer higher flexibility on production process management with decision support ability. In this paper, the detailed architecture and a case study have been included to demonstrate the feasibility of the proposed system.
URI: http://hdl.handle.net/10397/9652
ISSN: 1748-1252
DOI: 10.1504/IJENM.2008.01598
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