Keith (Wei Zhe) Low

QUT’s BPM Discipline

At the forefront of BPM research

Keith (Wei Zhe) Low

NameKeith (Wei Zhe) Low
Email[email protected]
Level of StudyPhD
Thesis TitleCost-Aware Business Process Management: Cost Mining, Cost Monitoring, and Cost Prediction
SupervisorsDr. Moe Wynn
Associate SupervisorProf. Arthur ter Hofstede
AbstractGartner’s 2011 survey amongst more than 2000 CIOs revealed that enterprise cost reduction and business process improvement are among the top five issues that organizations currently address. Business process management (BPM), process mining, and management accounting are among the techniques that can be implemented to reduce cost and improve business process efficiency. Although a significant amount of studies and many implementations have been done using BPM and process mining, the area of cost mining has not been looked into yet. The ability to mine cost information is highly desirable by organizations, where managers can analyze business processes from a cost perspective.This research is initiated to propose techniques to enable cost mining for business processes. In-depth research will be done to extend current process mining techniques to enable cost mining. Novel cost mining techniques will also be created to enable both cost-aware operational support and post-execution cost analyses. Visualization techniques will also be employed to enhance the comprehensibility of mined results. The outcomes of this study aim to enable organizations to make cost-informed business decisions with the cost-related insights gained from both run-time and post-execution cost mining.
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