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Integration of BPM and BRM

  • Conference paper
Business Process Model and Notation (BPMN 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 95))

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Abstract

The Business process modelling notation (BPMN) is used for modelling and automating business processes. The resulting process models contain all details that define the process flows from the high level scope up to technological aspects. Often, the readability decreases due to complex flow decisions and computations. While the models could be simplified from the business perspective they must be precise enough when they are executed later on. This paper proposes to use business rule management (BRM) in addition to business process management (BPM) to overcome these drawbacks. It shows best practices for a proper integration of BPM and BRM with regard to modelling and a seamless system integration.

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References

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Author information

Authors and Affiliations

  1. CSD Research, Capgemini, Berliner Str. 76, 63065, Offenbach, Germany

    Jörg Hohwiller & Diethelm Schlegel

  2. GB CSD MRDT, Capgemini, Berliner Str. 76, 63065, Offenbach, Germany

    Gunter Grieser

  3. Public Sector, Capgemini, Papendorpseweg 100, 3528, BJ, Utrecht, Netherlands

    Yvette Hoekstra

Authors
  1. Jörg Hohwiller
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  2. Diethelm Schlegel
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  3. Gunter Grieser
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  4. Yvette Hoekstra
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Editor information

Editors and Affiliations

  1. School of Industrial Engineering, Eindhoven University of Technology, P.O. Box 513, 5600, Eindhoven, MB, The Netherlands

    Remco Dijkman

  2. Engineering & Architecture, Lucerne University of Applied Sciences and Arts, Technikumstrasse 21, 6048, Horw, Switzerland

    Jörg Hofstetter  & Jana Koehler  & 

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© 2011 Springer-Verlag Berlin Heidelberg

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Hohwiller, J., Schlegel, D., Grieser, G., Hoekstra, Y. (2011). Integration of BPM and BRM. In: Dijkman, R., Hofstetter, J., Koehler, J. (eds) Business Process Model and Notation. BPMN 2011. Lecture Notes in Business Information Processing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25160-3_12

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  • DOI: https://doi.org/10.1007/978-3-642-25160-3_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25159-7

  • Online ISBN: 978-3-642-25160-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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