527 citations · 1.5k across the 47 of their papers we have counts for
58 papers
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach
Mahmoud Shoush, Marlon Dumas
Prescriptive process monitoring methods seek to optimize the performance of business processes by triggering interventions at runtime, thereby increasing the probability of positiv…
Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models
David Chapela-Campa, Ismail Benchekroun, Opher Baron +3
Business Process Simulation (BPS) is an approach to analyze the performance of business processes under different scenarios. For example, BPS allows us to estimate what would be th…
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning
Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa +3
Increasing the success rate of a process, i.e. the percentage of cases that end in a positive outcome, is a recurrent process improvement goal. At runtime, there are often certain…
Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes
Mahmoud Shoush, Marlon Dumas
Prescriptive process monitoring methods seek to improve the performance of a process by selectively triggering interventions at runtime (e.g., offering a discount to a customer) to…
Why am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes
Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa +2
Waiting times in a business process often arise when a case transitions from one activity to another. Accordingly, analyzing the causes of waiting times of activity transitions can…
Repairing Activity Start Times to Improve Business Process Simulation
David Chapela-Campa, Marlon Dumas
Business Process Simulation (BPS) is a common technique to estimate the impact of business process changes, e.g. what would be the cycle time of a process if the number of traces i…