BPMN Extension fo rB usiness Process Monitoring )

The execution of business processes generates al ot of data representing happenings (also called events) that may be utilized for process monitoring and analysis. This, however, is not supported by typical Business Process Management Systems (BPMSs). Especially ,i nm anual executing business process environments, i.e., not drive nb ya BPMS ,t he correlation of events to processes for monitoring and analysis is not trivial. At design-time, Proces sE vent Monitoring Points are use di np rocess models to specify the locations, where particular events are expected. Therewith, occurring events can be assigned to ap rocess during run-time. In this paper ,w ei ntroduce an extension to BPMN ,w hich implements this connection between process models and events. We sho wa pplicability of this extension by applying it to al ogistics scenario taken from an EU project.

[1]  Manuel Resinas,et al.  Defining Process Performance Indicators: An Ontological Approach , 2010, OTM Conferences.

[2]  D. Luckham Event Processing for Business: Organizing the Real-Time Enterprise , 2011 .

[3]  M. Reichert,et al.  Aktuelles Schlagwort: Business Process Intelligence , 2006 .

[4]  Vinod Muthusamy,et al.  Business Process Insight: An Approach and Platform for the Discovery and Analysis of End-to-End Business Processes , 2012, 2012 Annual SRII Global Conference.

[5]  Mathias Weske,et al.  Business Process Management: Concepts, Languages, Architectures , 2007 .

[6]  Omar Chiotti,et al.  Extending BPMN 2.0: Method and Tool Support , 2011, BPMN.

[7]  Mario Piattini,et al.  A BPMN Extension for the Modeling of Security Requirements in Business Processes , 2007, IEICE Trans. Inf. Syst..

[8]  Jörg Domaschka,et al.  Integrating CEP and BPM: how CEP realizes functional requirements of BPM applications (industry article) , 2012, DEBS.

[9]  David Luckham,et al.  The power of events - an introduction to complex event processing in distributed enterprise systems , 2002, RuleML.

[10]  Andreas Meyer,et al.  Model-Driven Event Query Generation for Business Process Monitoring , 2013, ICSOC Workshops.

[11]  Andreas Meyer,et al.  An Event Processing Platform for Business Process Management , 2013, 2013 17th IEEE International Enterprise Distributed Object Computing Conference.

[12]  Fabio Casati,et al.  Business Process Intelligence , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..