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Link to original content: https://doi.org/10.1007/978-3-319-15895-2_44
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Generating Business Process Recommendations with a Population-Based Meta-Heuristic

  • Conference paper
  • First Online:
Business Process Management Workshops (BPM 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 202))

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Abstract

In order to provide both guidance and flexibility to users during process execution, recommendation systems have been proposed. Existing recommendation systems mainly focus on offering recommendation according to the process optimization goals (time, cost…). In this paper we offer a new approach that primarily focuses on maximizing the flexibility during execution. This means that by following the recommendations, the user retains maximal flexibility to divert from them later on. This makes it possible to handle (possibly unknown) emerging constraints during execution. The main contribution of this paper is an algorithm that uses a declarative process model to generate a set of imperative process models that can be used to generate recommendations.

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Notes

  1. 1.

    https://github.ugent.be/MIS/AIS_Population_RecommendationSystem/.

  2. 2.

    This is not the same as recombination, as the result is not a composition of smaller parts of each model. The result is a model that contains both models fully.

References

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Author information

Authors and Affiliations

  1. Department of Business Informatics and Operations Management, Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, 9000, Ghent, Belgium

    Steven Mertens, Frederik Gailly & Geert Poels

Authors
  1. Steven Mertens
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  2. Frederik Gailly
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  3. Geert Poels
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Corresponding author

Correspondence to Steven Mertens .

Editor information

Editors and Affiliations

  1. IBM Research – Haifa, Haifa, Israel

    Fabiana Fournier

  2. Vienna University of Economics and Business, Vienna, Austria

    Jan Mendling

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© 2015 Springer International Publishing Switzerland

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Mertens, S., Gailly, F., Poels, G. (2015). Generating Business Process Recommendations with a Population-Based Meta-Heuristic. In: Fournier, F., Mendling, J. (eds) Business Process Management Workshops. BPM 2014. Lecture Notes in Business Information Processing, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-15895-2_44

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  • DOI: https://doi.org/10.1007/978-3-319-15895-2_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15894-5

  • Online ISBN: 978-3-319-15895-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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