Ponencia
Predictive Task Monitoring for Business Processes
Autor/es | Cabanillas Macías, Cristina
Di Ciccio, Claudio Mendling, Jan Baumgrass, Anne |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2014 |
Fecha de depósito | 2020-11-19 |
Publicado en |
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ISBN/ISSN | 978-3-319-10171-2 0302-9743 |
Resumen | 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. ... 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. |
Agencias financiadoras | European Union (UE) |
Identificador del proyecto | FP7/2007-2013 / 318275 (GET Service) |
Cita | Cabanillas Macías, C., Di Ciccio, C., Mendling, J. y Baumgrass, A. (2014). Predictive Task Monitoring for Business Processes. En BPM 2014: 12th International Workshops on Business Process Management (424-432), Haifa, Israel: Springer. |
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