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A Holistic Framework for IoT-Aware Business Processes

  • Conference paper
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Business Process Management Workshops (BPM 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 460))

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Abstract

The Internet of Things (IoT) enables a variety of smart applications, including smart home, smart factory, and smart health. As Business Process Management (BPM) can also benefit from IoT technologies, the combined use of BPM and IoT has attracted considerable research works. Providing integrated lifecycle support for modeling, executing, and monitoring IoT-aware business processes constitutes a challenge. Existing process modeling and execution languages such as BPMN 2.0 are unable to fully meet the requirements of IoT-aware processes. In this paper, we present an extension of BPMN 2.0 for modeling, executing, and monitoring IoT-aware business processes. We introduce specific artifacts and events that enable IoT awareness during the execution and monitoring of IoT-driven business processes. The resulting framework is illustrated along a real-world scenario.

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Notes

  1. 1.

    https://bpmn.io.

  2. 2.

    https://github.com/paed01/bpmn-engine.

  3. 3.

    https://www.fischertechnik.de/en/simulating/industry-4-0.

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Author information

Authors and Affiliations

  1. Institute of Databases and Information Systems, Ulm University, Ulm, Germany

    Yusuf Kirikkayis, Florian Gallik & Manfred Reichert

Authors
  1. Yusuf Kirikkayis
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  2. Florian Gallik
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  3. Manfred Reichert
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Corresponding author

Correspondence to Yusuf Kirikkayis .

Editor information

Editors and Affiliations

  1. University of Seville, Sevilla, Spain

    Cristina Cabanillas

  2. University of Agder, Kristiansand, Norway

    Niels Frederik Garmann-Johnsen

  3. Kiel University, Kiel, Germany

    Agnes Koschmider

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Kirikkayis, Y., Gallik, F., Reichert, M. (2023). A Holistic Framework for IoT-Aware Business Processes. In: Cabanillas, C., Garmann-Johnsen, N.F., Koschmider, A. (eds) Business Process Management Workshops. BPM 2022. Lecture Notes in Business Information Processing, vol 460. Springer, Cham. https://doi.org/10.1007/978-3-031-25383-6_8

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  • DOI: https://doi.org/10.1007/978-3-031-25383-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-25382-9

  • Online ISBN: 978-3-031-25383-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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