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Workflow Support in Wearable Production Information Systems

Title data

Schönig, Stefan ; Aires, Ana Paula ; Ermer, Andreas ; Jablonski, Stefan:
Workflow Support in Wearable Production Information Systems.
In: Mendling, Jan ; Mouratidis, Haralambos (ed.): Information Systems in the Big Data Era. - Cham : Springer , 2018 . - pp. 235-243
ISBN 978-3-319-92901-9
DOI: https://doi.org/10.1007/978-3-319-92901-9_20

Abstract in another language

The Internet of Things (IoT) is the inter-networking of physical objects like electronic hardware or humans using wearable digital devices. IoT allows things to be controlled remotely across existing network infrastructures. A business process is a collection of related events, activities, and decisions that involve a number of resources. To support processes at an operational level, a BPM system (BPMS) can be used. During process execution, a variety of information is required to make meaningful decisions. With the emergence of IoT, data is generated from physical devices sensing their environment that reflects certain aspects of operative processes. We introduce a toolset for an IoT-aware business process execution system that exploits IoT for BPM by providing IoT data in a process-aware way, considering IoT data for interaction in a pre-defined process model, and providing wearable user interfaces with context specific IoT data provision. The toolset has been evaluated extensively in production industry.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 05 Apr 2018 11:09
Last Modified: 07 Aug 2018 05:35
URI: https://eref.uni-bayreuth.de/id/eprint/43215