Reducing complexity of large EPCs

Polyvyanyy, Artem, Smirnov, Sergey, & Weske, Mathias (2008) Reducing complexity of large EPCs. In Lecture Notes in Informatics : Modellierung betrieblicher Informationssysteme, Gesellschaft für Informatik, Bonn, Saarbrücken, Germany, pp. 195-207.

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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.

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7 citations in Scopus
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ID Code: 70725
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISBN: 9783885792352
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 30 Apr 2014 00:37
Last Modified: 12 May 2014 02:46

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