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Folding Marked Generalized Stochastic Petri Nets for Time Prediction in Business Processes

Zusammenfassung

Generalized Stochastic Petri Nets (GSPNs) can be used for performance analysis of business processes. Recently, it was shown that foldings of a GSPN, i.e., a set of model reduction rules, help to avoid over-fitting of the model with respect to the performance characteristics of a process. Yet, these foldings ignore the marking of a GSPN and, thus, are applicable solely for steady-state analysis. In this paper, we discuss how foldings may be lifted to marked nets and provide an assessment of stateful foldings for sequential GSPNs.

Beschreibung

Fahrenkrog-Petersen, Stephan A.; Weidlich, Matthias (2018): Folding Marked Generalized Stochastic Petri Nets for Time Prediction in Business Processes. Workshops der INFORMATIK 2018 - Architekturen, Prozesse, Sicherheit und Nachhaltigkeit. Bonn: Köllen Druck+Verlag GmbH. PISSN: 1617-5468. ISBN: 978-3-88579-679-4. pp. 239-244. ZuGPM 2018 – Workshop zum Stand, den Herausforderungen und Impulsen des Geschäftsprozessmanagements. Berlin. 26.-27.09.2018

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