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CREDIBILITY CONSIDERATION FOR DIGITAL TWINS IN MANUFACTURING

Published

Author(s)

Guodong Shao, Joe Hightower, William Schindel

Abstract

Digital Twin has become an important technology for advanced manufacturing. However, to ensure that digital twins provide valuable decision support, the results generated by the digital twins must be trustworthy for real manufacturing systems. Model credibility assessment including Verification, Validation, and Uncertainty Quantification (VVUQ) techniques need to be applied throughout the life cycle of digital twins. Verification and Validation (V&V) activities are necessary to ensure that a digital twin meets its intended purpose and design goals used to establish its credibility. Uncertainty Quantification (UQ) produces a measure of performance that users can apply as part of a credibility assessment for a given digital twin. Credibility assessment of digital twins also includes factors beyond VVUQ. This paper discusses requirements of the digital twin credibility assessment, identifies potential uncertainty areas of digital twins, introduces a new digital-twin framework standard, proposes potential extension of the standard with credibility consideration, and discusses other ongoing relevant standards.
Citation
Manufacturing Letters

Keywords

Digital twin, Verification and Validation (V&V), Uncertainty Quantification (UQ), Credibility assessment

Citation

Shao, G. , Hightower, J. and Schindel, W. (2022), CREDIBILITY CONSIDERATION FOR DIGITAL TWINS IN MANUFACTURING, Manufacturing Letters, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=933097 (Accessed June 17, 2024)

Issues

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Created December 16, 2022, Updated December 19, 2022