AUTO-TWIN-1143672 The digital twin synchronization problem: Framework, formulations, and analysis

Summary

This is a publication. If there is no link to the publication on this page, you can try the pre-formated search via the search engines listed on this page.

Authors: Baris Tan and Andrea Matta

Journal title: IISE Transactions

Journal number: 56

Journal publisher: Taylor and Francis

Published year: 2024

DOI identifier: 10.1080/24725854.2023.2253869

ISSN: 2472-5854

Structured mapping

Unfold all

Fold all

Data-driven method based on a process mining approach for Automated Digital Twin generation, operations, and maintenance in circular value chains

Contacts

Not specified (see website if available) or see associated project

Associated projects

AUTO-TWIN - Data-driven method based on a process mining approach for Automated Digital Twin generation, operations, and maintenance in circular value chains

Organisations

Not specified