Information sources providing real-time status of physical objects have drastically increased in recent times. So far, research in business process monitoring has mainly focused on checking the completion of tasks. However, the availability of real-time information allows for a more detailed tracking of individual business tasks. This paper describes a framework for controlling the safe execution of tasks and signalling possible misbehaviours at runtime. It outlines a real use case on smart logistics and the preliminary results of its application.
Predictive Task Monitoring for Business Processes / Cabanillas, Cristina; DI CICCIO, Claudio; Mendling, Jan; Baumgrass, Anne. - (2014), pp. 424-432. (Intervento presentato al convegno Business Process Management - 12th International Conference, BPM 2014 tenutosi a Haifa, Israel) [10.1007/978-3-319-10172-9_31].
Predictive Task Monitoring for Business Processes
Claudio Di Ciccio
;
2014
Abstract
Information sources providing real-time status of physical objects have drastically increased in recent times. So far, research in business process monitoring has mainly focused on checking the completion of tasks. However, the availability of real-time information allows for a more detailed tracking of individual business tasks. This paper describes a framework for controlling the safe execution of tasks and signalling possible misbehaviours at runtime. It outlines a real use case on smart logistics and the preliminary results of its application.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.