Knowledge-Based Decision Support Systems: With Applications in Business
Knowledge-Based Decision Support Systems: With Applications in Business
Data Mining for Measuring and Improving the Success of Web Sites
Data Mining and Knowledge Discovery
Using Formal Analysis Techniques in Business Process Redesign
Business Process Management, Models, Techniques, and Empirical Studies
An Introduction to the Theoretical Aspects of Coloured Petri Nets
A Decade of Concurrency, Reflections and Perspectives, REX School/Symposium
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Process mining: a research agenda
Computers in Industry - Special issue: Process/workflow mining
Mining user access patterns with traversal constraint for predicting web page requests
Knowledge and Information Systems
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
A hierarchical approach for the redesign of chemical processes
Knowledge and Information Systems
Ontology-driven intelligent service for configuration support in networked organizations
Knowledge and Information Systems
A Process Mining Approach to Redesign Business Processes - A Case Study in Gas Industry
SYNASC '07 Proceedings of the Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Discovering colored Petri nets from event logs
International Journal on Software Tools for Technology Transfer (STTT)
Process modeling for simulation
Computers in Industry
A collaboration support environment for decision enhancement in business process improvement
CRIWG'11 Proceedings of the 17th international conference on Collaboration and technology
A comparative study of dimensionality reduction techniques to enhance trace clustering performances
Expert Systems with Applications: An International Journal
Understanding users' behavior with software operation data mining
Computers in Human Behavior
Information and Software Technology
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Nowadays, organizations have to adjust their business processes along with the changing environment in order to maintain a competitive advantage. Changing a part of the system to support the business process implies changing the entire system, which leads to complex redesign activities. In this paper, a bottom-up process mining and simulation-based methodology is proposed to be employed in redesign activities. The methodology starts with identifying relevant performance issues, which are used as basis for redesign. A process model is “mined” and simulated as a representation of the existing situation, followed by the simulation of the redesigned process model as prediction of the future scenario. Finally, the performance criteria of the current business process model and the redesigned business process model are compared such that the potential performance gains of the redesign can be predicted. We illustrate the methodology with three case studies from three different domains: gas industry, government institution and agriculture.