SESep 24, 2020

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

arXiv:2010.00943v12 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for predictive simulation tools in process mining, offering a domain-specific solution for analysts and practitioners to move beyond backward-looking techniques.

The authors tackled the problem of forward-looking simulation in process mining by developing PMSD, a web application tool that transforms event data and process mining results into executable and validated simulation models using system dynamics, achieving aggregated simulation with visualized results for better interpretation.

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

Code Implementations1 repo
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