# PMSD: Data-Driven Simulation Using System Dynamics and Process Mining

arXiv: https://arxiv.org/abs/2010.00943 · HTML: https://mlsanity.com/paper/2010.00943/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Sep 2020.

## Built on by (most cited first, 2 of 2)

- [A Framework for Explainable Concept Drift Detection in Process Mining](https://mlsanity.com/paper/2105.13155/) (2021)
- [Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)](https://mlsanity.com/paper/2107.13066/) (2021)

## Abstract (arXiv)

Process mining extends far beyond process discovery and conformance checking, and also provides techniques for bottleneck analysis and organizational mining. However, these techniques are mostly backward-looking. PMSD is a web application tool that supports forward-looking simulation techniques. It transforms the event data and process mining results into a simulation model which can be executed and validated. PMSD includes log transformation, time window selection, relation detection, interactive model generation, simulating and validating the models in the form of system dynamics, i.e., a technique for an aggregated simulation. The results of the modules are visualized in the tool for a better interpretation