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A Generic Approach Towards Location-Aware Business Process Execution

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Enterprise, Business-Process and Information Systems Modeling (BPMDS 2023, EMMSAD 2023)

Abstract

Locally distributed processes include several process participants working on tasks at different locations, e.g., craftspeople working on construction sites. Compared to classical IT environments, new challenges emerge due to the spatial context of a process. Real-time location data from Internet of Things (IoT) devices consumed through BPM technology can help businesses to implement more efficient and effective processes.

Those advantages, however, have only been touched by small parts of existing research, while the architecture and implementation of executable location-aware processes area only ever been vaguely considered. Therefore, we introduce and present a non-exhaustive list of concepts for the use of location data for BPM as well as a location-aware approach for process execution and present a multi-layer system architecture based on standard BPM technology.

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Notes

  1. 1.

    https://github.com/LeoPoss/location-aware_bpm.

  2. 2.

    https://nodered.org.

  3. 3.

    https://camunda.com/en/platform.

  4. 4.

    https://spring.io/projects/spring-boot.

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Acknowledgement

This work is funded by the “Bayrische Forschungsstiftung (BFS)” within the project IoT-basiertes Daten- und Prozessmanagement im Handwerk (TRADEmark).

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Correspondence to Leo Poss .

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Poss, L., Schönig, S. (2023). A Generic Approach Towards Location-Aware Business Process Execution. In: van der Aa, H., Bork, D., Proper, H.A., Schmidt, R. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2023 2023. Lecture Notes in Business Information Processing, vol 479. Springer, Cham. https://doi.org/10.1007/978-3-031-34241-7_8

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  • DOI: https://doi.org/10.1007/978-3-031-34241-7_8

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