Comparison of Modeling Approaches to Business Process Performance Evaluation

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Provided by: INRIA
Topic: Big Data
Format: PDF
In order to improve efficiency in organizations, it is important to understand how organizational processes work and how they could be optimized. The authors' goal is to contribute with the Business Process Management (BPM) research area providing a summary of the advantages and disadvantages of applying three well-known high-level formalisms in the modeling and performance evaluation of business processes - the Generalized Stochastic Petri Nets, the Performance Evaluation Process Algebra and the Stochastic Automata Networks.
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