Event-Driven Process-Centric Performance Prediction via Simulation

Research Challenges for Business Process Models at Run-Time

“…Usually, at most two of the change dimensions are captured in current BPM@RT as they serve a specific purpose, e.g. BAM solutions capturing performance information on the reflectivity and/or variability level [16,38]. However, we propose to separate the concerns of capturing and reasoning: capturing the general state of the SUS on all three dimensions and apply the purpose-oriented reasoning based on this information.…”

“…Existing BAM solutions mostly focus on monitoring key performance indicators on the business process level, e.g. [16,39,10]. As identified in the previous section, this is, however, only one abstraction level on which dynamic model updates can be triggered.…”

Business Model Design An Evaluation of Paper-based and Computer-Aided Canvases

“…Analytical Prediction. These numeriOn Advanced Business Simulations -Converging Operational and Strategic Levels cal and/or statistical methods do, however, not take the workflow information that is readily available in many BPMSs into account (Redlich and Gilani, 2011). The second approach, which includes workflow information to create more meaningful prediction results, is Prediction via Simulation.…”

“…In this second approach, in addition to the extracted historical performance data, BP Scenario information about control workflow, involved roles and resources are utilised in a discrete event simulation (Robinson, 1964). The beneficial effect of using simulation over analytical methods for predicting PPIs is discussed in (Redlich and Gilani, 2011) and (Porzucek et al, 2010). Figure 1 shows the general concept for extracting Historical (and current) PPI data plus the two approaches of how to compute the Predicted PPI data via Analytical Prediction (horizontally striped) and Prediction via Simulation (vertically striped).…”

“…This process execution data, therefore, holds the key to uncover problems and bottlenecks at the business process execution level. Significant research work has been carried out in the area of PPI extractions, for instance, in the context of Process Performance Mining and Business Process Performance Management (Redlich and Gilani, 2011;Fritzsche et al, 2009;Heilig and Möller, 2014).…”