at Google ScholarTitle data
Conforti, Raffaele ; Fink, Sven ; Manderscheid, Jonas ; Röglinger, Maximilian:
PRISM : A Predictive Risk Monitoring Approach for Business Processes.
In:
Proceedings of the 14th International Conference on Business Process Managent (BPM). -
Rio de Janeiro, Brazil
,
2016
Project information
| Project title: |
Project's official title Project's id Projektgruppe WI Künstliche Intelligenz No information |
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Abstract in another language
Nowadays, organizations face severe operational risks when executing their business processes. Some reasons are the ever more complex and dynamic busi-ness environment as well as the organic nature of business processes. Taking a risk perspective on the business process management (BPM) lifecycle has thus been recognized as an essential research stream. Despite profound knowledge on risk-aware BPM with a focus on process design, existing approaches for real-time risk monitoring treat instances as isolated when detecting risks. They do not propagate risk information to other instances in order to support early risk detec-tion. To address this gap, we propose an approach for predictive risk monitoring (PRISM). This approach automatically propagates risk information, which has been detected via risk sensors, across similar running instances of the same pro-cess in real-time. We demonstrate PRISM’s capability of predictive risk monitor-ing by applying it in the context of a real-world scenario.