11 citations · 13 across the 3 of their papers we have counts for
5 papers
Interactive Process Improvement using Simulation of Enriched Process Trees
Mahsa Pourbafrani, Wil M. P. van der Aalst
Event data provide the main source of information for analyzing and improving processes in organizations. Process mining techniques capture the state of running processes w.r.t. va…
SIMPT: Process Improvement Using Interactive Simulation of Time-aware Process Trees
Mahsa Pourbafrani, Shuai Jiao, Wil M. P. van der Aalst
Process mining techniques including process discovery, conformance checking, and process enhancement provide extensive knowledge about processes. Discovering running processes and…
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
Wil van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi +3
Operational processes in production, logistics, material handling, maintenance, etc., are supported by cyber-physical systems combining hardware and software components. As a resul…
A Python Extension to Simulate Petri nets in Process Mining
M. Pourbafrani, Sandhya Vasudevan, Faizan Zafar +3
The capability of process mining techniques in providing extensive knowledge and insights into business processes has been widely acknowledged. Process mining techniques support di…
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining
Mahsa Pourbafrani, Wil M. P. van der Aalst
Process mining extends far beyond process discovery and conformance checking, and also provides techniques for bottleneck analysis and organizational mining. However, these techniq…