Comparison of Modeling Approaches to Business Process Performance Evaluation
Résumé
In order to improve efficiency in organizations, it is important to understand how organizational processes work and how they could be optimized. Our 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. To evaluate the feasibility of the approaches, we consider criteria regarding the modeling perspective, such as the expressive power, the facility of modeling, the readability of the models, and the efficacy of their supporting software tools. Different scenarios are used to illustrate the modeling characteristics commonly found in business processes and evidence the advantages and disadvantages of each approach.
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