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2018 | OriginalPaper | Buchkapitel

Model Consolidation: A Process Modelling Method Combining Process Mining and Business Process Modelling

verfasst von : Ornela Çela, Agnès Front, Dominique Rieu

Erschienen in: Enterprise, Business-Process and Information Systems Modeling

Verlag: Springer International Publishing

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Abstract

Analysing the current state of a process is a crucial step when improving the process. Four elements are defined during the process analysis: the objective, the process model, the indicators and the blocking points. It is important to well-define all of them when characterizing a process state, however the process model has a more fundamental influence. This model provides a map upon which is done the analysis of the process state, prediction of its evolution and simulation of the impact of the change to be undertaken for improving the process.
In this work we are proposing a strategy for the model consolidation, that combines the process discovery and business process modeling approach. This strategy aims to merge the models derived by these existing approaches in one unique model that is complete, comprehensive, aligned to the reality and useful for in-depth analysis.
This article describes the model consolidation strategy by detailing the steps to be taken and illustrating its usage into a real-life process provided from our industrial collaborator Net Invaders [19].

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Metadaten
Titel
Model Consolidation: A Process Modelling Method Combining Process Mining and Business Process Modelling
verfasst von
Ornela Çela
Agnès Front
Dominique Rieu
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-91704-7_8