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International Conference on Business Process Management

BPM 2014: Business Process Management pp 424–432Cite as

Predictive Task Monitoring for Business Processes

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8659))

Abstract

Information sources providing real-time status of physical objects have drastically increased in recent times. So far, research in business process monitoring has mainly focused on checking the completion of tasks. However, the availability of real-time information allows for a more detailed tracking of individual business tasks. This paper describes a framework for controlling the safe execution of tasks and signalling possible misbehaviours at runtime. It outlines a real use case on smart logistics and the preliminary results of its application.

The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement 318275 (GET Service).

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Author information

Authors and Affiliations

  1. Institute for Information Business at Vienna, University of Economics and Business, Austria

    Cristina Cabanillas, Claudio Di Ciccio & Jan Mendling

  2. Hasso Plattner Institute, University of Potsdam, Germany

    Anne Baumgrass

Authors
  1. Cristina Cabanillas
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  2. Claudio Di Ciccio
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  3. Jan Mendling
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  4. Anne Baumgrass
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Editor information

Editors and Affiliations

  1. School of Information Technology and Electrical Engineering, The University of Queensland, St. Lucia, QLD, Australia

    Shazia Sadiq

  2. Information Systems Department, University of Haifa, Haifa, Israel

    Pnina Soffer

  3. IBM Research - Zurich, Rueschlikon, Switzerland

    Hagen Völzer

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© 2014 Springer International Publishing Switzerland

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Cabanillas, C., Di Ciccio, C., Mendling, J., Baumgrass, A. (2014). Predictive Task Monitoring for Business Processes. In: Sadiq, S., Soffer, P., Völzer, H. (eds) Business Process Management. BPM 2014. Lecture Notes in Computer Science, vol 8659. Springer, Cham. https://doi.org/10.1007/978-3-319-10172-9_31

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  • DOI: https://doi.org/10.1007/978-3-319-10172-9_31

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10171-2

  • Online ISBN: 978-3-319-10172-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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