Title :
Monitoring of Business Process Execution Based on Performance Indicators
Author :
Antonello Calabro;Francesca Lonetti;Eda Marchetti
Author_Institution :
ISTI, Pisa, Italy
Abstract :
Nowadays, more and more industrial organizations are using Business Process Model and Notation (BPMN) for process modeling. Key performance Indicators (KPIs) are seton such process models so to get a quantitative assessment of critical success metrics. A timely and reliable monitoring of KPIs is instrumental to Business Process (BP) management, and several frameworks are being proposed for such purpose. Business process monitoring solutions can be embedded into the Business Process Modeling (BPM) execution framework or integrated as additional facilities. This paper presents an integrated framework that allows for modeling, execution and analysis of business process based on a flexible and adaptable monitoring infrastructure. The main advantage of the proposed approach is that it is independent from any specific business process modeling notation and execution engine and allows for the definition and evaluation of user-specific KPI measures.
Keywords :
"Monitoring","Engines","Process modeling","Analytical models","Proposals","Process control"
Conference_Titel :
Software Engineering and Advanced Applications (SEAA), 2015 41st Euromicro Conference on
Electronic_ISBN :
2376-9505
DOI :
10.1109/SEAA.2015.73