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Decision Support for Declarative Artifact-Centric Process Models

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Business Process Management Forum (BPM 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 360))

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Abstract

Data-driven business processes involve knowledge workers that process information to take decisions. Such processes have been modelled successfully using artifact-centric process models. Artifacts represent business entities about which the knowledge workers collect and process information. Since information retrieval costs time and money, the key goal is to retrieve only the pieces of information that are needed to make a well-informed decision. To aid knowledge workers in achieving this goal, this paper realizes decision support for declarative artifact-centric process models by showing how declarative artifact-centric process models can be translated into Markov Decision Processes (MDP). The approach is illustrated with an example from the field of financial services.

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Authors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Simon Voorberg, Rik Eshuis, Willem van Jaarsveld & Geert-Jan van Houtum

Authors
  1. Simon Voorberg
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  2. Rik Eshuis
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  3. Willem van Jaarsveld
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  4. Geert-Jan van Houtum
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Corresponding author

Correspondence to Simon Voorberg .

Editor information

Editors and Affiliations

  1. University of Copenhagen, Copenhagen, Denmark

    Thomas Hildebrandt

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Boudewijn F. van Dongen

  3. University of Bayreuth, Bayreuth, Germany

    Maximilian Röglinger

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

    Jan Mendling

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Voorberg, S., Eshuis, R., van Jaarsveld, W., van Houtum, GJ. (2019). Decision Support for Declarative Artifact-Centric Process Models. In: Hildebrandt, T., van Dongen, B., Röglinger, M., Mendling, J. (eds) Business Process Management Forum. BPM 2019. Lecture Notes in Business Information Processing, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-030-26643-1_3

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  • DOI: https://doi.org/10.1007/978-3-030-26643-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26642-4

  • Online ISBN: 978-3-030-26643-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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