A standardized approach for measuring the performance and flexibility of digital twins
Author:
Affiliation:
1. SIRIUS Center, Department of Informatics, University of Oslo, Oslo, Norway
2. Department of Mechanical Engineering, University of North Florida, Jacksonville, USA
Funder
H2020 Leadership in Enabling and Industrial Technologies
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2139005
Reference80 articles.
1. How to Set Up the Pillars of Digital Twins Technology in Our Business: Entities, Challenges and Solutions
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3. A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications
4. Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems
5. Machine learning based digital twin for dynamical systems with multiple time-scales
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