Automated manufacturing system discovery and digital twin generation

G Lugaresi, A Matta - Journal of Manufacturing Systems, 2021 - Elsevier
The latest developments in industry involved the deployment of digital twins for both long
and short term decision making, such as supply chain management, production planning …

[HTML][HTML] The connection between process complexity of event sequences and models discovered by process mining

A Augusto, J Mendling, M Vidgof, B Wurm - Information Sciences, 2022 - Elsevier
Process mining is a research area focusing on the design of algorithms that can
automatically provide insights into business processes. Among the most popular algorithms …

[HTML][HTML] Process mining meets model learning: Discovering deterministic finite state automata from event logs for business process analysis

S Agostinelli, F Chiariello, FM Maggi, A Marrella… - Information Systems, 2023 - Elsevier
Within the process mining field, Deterministic Finite State Automata (DFAs) are largely
employed as foundation mechanisms to perform formal reasoning tasks over the information …

From process mining to augmented process execution

D Chapela-Campa, M Dumas - Software and Systems Modeling, 2023 - Springer
Business process management (BPM) is a well-established discipline comprising a set of
principles, methods, techniques, and tools to continuously improve the performance of …

Can I trust my simulation model? measuring the quality of business process simulation models

D Chapela-Campa, I Benchekroun, O Baron… - … Conference on Business …, 2023 - Springer
Abstract 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 …

An Experimental Outlook on Quality Metrics for Process Modelling: A Systematic Review and Meta Analysis

ATS Ireddy, SV Kovalchuk - Algorithms, 2023 - mdpi.com
The ideology behind process modelling is to visualise lengthy event logs into simple
representations interpretable to the end user. Classifying process models as simple or …

Global conformance checking measures using shallow representation and deep learning

J Peeperkorn, S vanden Broucke… - Engineering Applications of …, 2023 - Elsevier
Conformance checking refers to techniques that can compare normative process behavior,
typically captured by process models, and observed process behavior, usually captured in …

[HTML][HTML] Process mining-driven analysis of COVID-19's impact on vaccination patterns

A Augusto, T Deitz, N Faux… - Journal of Biomedical …, 2022 - Elsevier
Process mining is a discipline sitting between data mining and process science, whose goal
is to provide theoretical methods and software tools to analyse process execution data …

Optimal event log sanitization for privacy-preserving process mining

SA Fahrenkrog-Petersen, H van der Aa… - Data & Knowledge …, 2023 - Elsevier
Event logs that originate from information systems enable comprehensive analysis of
business processes. These logs serve as the starting point for the discovery of process …

[HTML][HTML] A framework for measuring the quality of business process simulation models

D Chapela-Campa, I Benchekroun, O Baron… - Information Systems, 2025 - Elsevier
Abstract Business Process Simulation (BPS) is an approach to analyze the performance of
business processes under different scenarios. For example, BPS allows us to estimate the …