Abstract : Organizations of all sizes are currently supporting their performance on information systems that record the real execution of their business processes in event logs. Process mining tools analyze the log to provide insight on the real problems of the process, as part of the diagnostic phase. Nonetheless, to complete the lifecycle of a process, the latter has to be redesigned, a task for which simulation techniques can be used in combination with process mining, in order to evaluate different improvement alternatives before they are put in practice. In this context, the current work presents a methodological approach to the integration of process mining and simulation techniques in a process redesign project.
Wil Aalst; John Mylopoulos; Michael Rosemann; Michael J. Shaw; Clemens Szyperski; Philippe Cudre-Mauroux; Paolo Ceravolo; Dragan Gašević. 2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2012, Campione d’Italia, Italy. Springer, Lecture Notes in Business Information Processing, LNBIP-162, pp.24-43, 2013, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-642-40919-6_2〉
https://hal.inria.fr/hal-01474688
Contributeur : Hal Ifip
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Soumis le : jeudi 23 février 2017 - 09:33:21
Dernière modification le : jeudi 23 février 2017 - 09:40:42
Document(s) archivé(s) le : mercredi 24 mai 2017 - 12:33:49
Santiago Aguirre, Carlos Parra, Jorge Alvarado. Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach. Wil Aalst; John Mylopoulos; Michael Rosemann; Michael J. Shaw; Clemens Szyperski; Philippe Cudre-Mauroux; Paolo Ceravolo; Dragan Gašević. 2nd International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2012, Campione d’Italia, Italy. Springer, Lecture Notes in Business Information Processing, LNBIP-162, pp.24-43, 2013, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-642-40919-6_2〉. 〈hal-01474688〉
