Monitoring Batch Regions in Business Processes

Recently, batch activities have been introduced to improve the execution of business processes by collectively performing batch activities that belong to different process instances. Using traditional techniques to monitor processes with batch activities leads to inadequate representation of process instances, since monitoring is unaware of batch activities. This paper introduces an approach tomonitor batch activities, which also takes into account exceptions in batch clusters at different levels of abstraction. The concepts and techniques introduced are evaluated by a prototypical implementation using real-world event data from the logistics domain.