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 engineer event-driven
logistics processes application. Thereby, we describe the requirements, use cases and lessons learned to design and implement such an architecture.
Original language | English |
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Title of host publication | 1st International Workshop on Process Engineering (IWPE 2015), 31 August 2015, Innsbruck, Austria |
Editors | H. Reijers, M. Reichert |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 501-514 |
Number of pages | 14 |
ISBN (Electronic) | 978-3-319-42887-1 |
ISBN (Print) | 978-3-319-42886-4 |
DOIs | |
Publication status | Published - 22 Jul 2016 |
Event | 1st International Workshop on Process Engineering (IWPE 2015) - University of Innsbruck, Innsbruck, Austria Duration: 31 Aug 2015 → 31 Aug 2015 Conference number: 1 http://bpt.hpi.uni-potsdam.de/IWPE |
Publication series
Name | Lecture Notes in Business Information Processing |
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Volume | 256 |
Workshop
Workshop | 1st International Workshop on Process Engineering (IWPE 2015) |
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Abbreviated title | IWPE 2015 |
Country/Territory | Austria |
City | Innsbruck |
Period | 31/08/15 → 31/08/15 |
Other | Workshop held at the 13th International Conference on Business Process Management (BPM 2015) |
Internet address |