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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 …
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
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 …
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
Within the process mining field, Deterministic Finite State Automata (DFAs) are largely
employed as foundation mechanisms to perform formal reasoning tasks over the information …
employed as foundation mechanisms to perform formal reasoning tasks over the information …
From process mining to augmented process execution
Business process management (BPM) is a well-established discipline comprising a set of
principles, methods, techniques, and tools to continuously improve the performance 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
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 …
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
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 …
representations interpretable to the end user. Classifying process models as simple or …
Global conformance checking measures using shallow representation and deep learning
Conformance checking refers to techniques that can compare normative process behavior,
typically captured by process models, and observed process behavior, usually captured in …
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
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 …
is to provide theoretical methods and software tools to analyse process execution data …
Optimal event log sanitization for privacy-preserving process mining
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 …
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
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 …
business processes under different scenarios. For example, BPS allows us to estimate the …