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Performing Business Process Redesign with Best Practices: An Evolutionary Approach

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Book cover Enterprise Information Systems (ICEIS 2007)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 12))

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Abstract

Although extensive literature on BPR is available, there is still a lack of concrete guidance on actually changing processes for the better. In this paper we propose and detail out an evolutionary approach towards business process redesign. We describe the steps to derive a better performing redesign using the existing process model as input. The redesign steps are: 1) computing process measures, 2) evaluating condition statements to find applicable redesign “best practices”, 3) creating alternative models according to these best practices, and 4) evaluating the performance of the created alternatives. The end result is a new process model. We show the applicability of the steps with a case study. Our approach has a formal basis to make it suitable for automation.

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Author information

Authors and Affiliations

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

    Mariska Netjes, Hajo A. Reijers & Wil M. P. van der Aalst

  2. Information Systems Program, Carnegie Mellon University, P.O. Box 24866, Doha, Qatar

    Selma Limam Mansar

Authors
  1. Mariska Netjes
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  2. Selma Limam Mansar
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  3. Hajo A. Reijers
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  4. Wil M. P. van der Aalst
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Editor information

Editors and Affiliations

  1. Polytechnic Institute of Setúbal - INSTICC, 2910-761, Setúbal, Portugal

    Joaquim Filipe  & José Cordeiro  & 

  2. Department of Mathematics and Engineering, University of Madeira, 9100-390, Funchal, Portugal

    Jorge Cardoso

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© 2008 Springer-Verlag Berlin Heidelberg

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Netjes, M., Mansar, S.L., Reijers, H.A., van der Aalst, W.M.P. (2008). Performing Business Process Redesign with Best Practices: An Evolutionary Approach. In: Filipe, J., Cordeiro, J., Cardoso, J. (eds) Enterprise Information Systems. ICEIS 2007. Lecture Notes in Business Information Processing, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88710-2_16

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  • DOI: https://doi.org/10.1007/978-3-540-88710-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88709-6

  • Online ISBN: 978-3-540-88710-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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