Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Discovering Workflow Performance Models from Timed Logs
EDCIS '02 Proceedings of the First International Conference on Engineering and Deployment of Cooperative Information Systems
Workflow Verification: Finding Control-Flow Errors Using Petri-Net-Based Techniques
Business Process Management, Models, Techniques, and Empirical Studies
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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One of buzzwords for modern manufacturing industry are flexible manufacturing systems (FMS), in which several machines are interlinked by an automated information and material flow system. Description and control upon these systems are of prominent significance. This paper is concerned with mining and construction of the established FMS from work event logs. A novel Petri nets based algorithm is developed to implement such an idea. When an FMS is mined and constructed, its corresponding Petri net is used to evaluate, analyze, and control the system. Theoretical and experimental results are illustrated to show the effectiveness and efficiency of this approach.