Abstract
Successful applications of the Internet of Things such as smart cities, smart logistics, and predictive maintenance, build on observing and analyzing business-related objects in the real world for business process execution and monitoring. In this context, complex event processing is increasingly used to integrate events from sensors with events stemming from business process management systems. This paper describes a methodology to combine the areas and engineer an event-driven logistics processes application. Thereby, we describe the requirements, use cases and lessons learned to design and implement such an architecture.
The research leading to these results is part of the GET Service project and has received funding from the European Commission under the 7th Framework Programme (FP7) for Research and Technological Development under grant agreement 2012-318275.
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Baumgraß, A. et al. (2016). Towards a Methodology for the Engineering of Event-Driven Process Applications. In: Reichert, M., Reijers, H. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 256. Springer, Cham. https://doi.org/10.1007/978-3-319-42887-1_40
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DOI: https://doi.org/10.1007/978-3-319-42887-1_40
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