Reducing complexity of large EPCs
Abstract
Business processes are an important instrument for understanding and improving how companies provide goods and services to customers. Therefore, many companies have documented their business processes well, often in the Event-driven Process Chains (EPC). Unfortunately, in many cases the resulting EPCs are rather complex, so that the overall process logic is hidden in low level process details. This paper proposes abstraction mechanisms for process models that aim to reduce their complexity, while keeping the overall process structure. We assume that functions are marked with efforts and splits are marked with probabilities. This information is used to separate important process parts from less important ones. Real world process models are used to validate the approach.
- Citation
- BibTeX
Polyvyanyy, A., Smirnov, S. & Weske, M.,
(2008).
Reducing complexity of large EPCs.
In:
Loos, P., Nüttgens, M., Turowski, K. & Werth, D.
(Hrsg.),
Modellierung betrieblicher Informationssysteme (MobIS 2008).
Bonn:
Gesellschaft für Informatik e.V..
(S. 195-207).
@inproceedings{mci/Polyvyanyy2008,
author = {Polyvyanyy, Artem AND Smirnov, Sergey AND Weske, Mathias},
title = {Reducing complexity of large EPCs},
booktitle = {Modellierung betrieblicher Informationssysteme (MobIS 2008)},
year = {2008},
editor = {Loos, Peter AND Nüttgens, Markus AND Turowski, Klaus AND Werth, Dirk} ,
pages = { 195-207 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Polyvyanyy, Artem AND Smirnov, Sergey AND Weske, Mathias},
title = {Reducing complexity of large EPCs},
booktitle = {Modellierung betrieblicher Informationssysteme (MobIS 2008)},
year = {2008},
editor = {Loos, Peter AND Nüttgens, Markus AND Turowski, Klaus AND Werth, Dirk} ,
pages = { 195-207 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
Dateien | Groesse | Format | Anzeige | |
---|---|---|---|---|
gi-proc-141-013.pdf | 324.7Kb | View/ |
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Send Feedback
More Info
ISBN: 978-3-88579-235-2
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2008
Language:
(en)

Content Type: Text/Conference Paper