Digital Twin simulation models: a validation method based on machine learning and control charts-Reference-Cited by-同舟云学术

Digital Twin simulation models: a validation method based on machine learning and control charts

Published:2023-05-31 Issue: Volume: Page:1-17
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

dos Santos Carlos Henrique¹^ORCID,Campos Afonso Teberga¹^ORCID,Montevechi José Arnaldo Barra¹^ORCID,de Carvalho Miranda Rafael¹^ORCID,Costa Antonio Fernando Branco¹^ORCID

Affiliation:

1. Production Engineering and Management Institute, Federal University of Itajubá (UNIFEI), Itajubá, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2217299

Reference43 articles.

1. On designing an efficient control chart to monitor fraction nonconforming

2. An empirical evaluation of attribute control charts for monitoring defects

3. C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems

4. Determining Significant Classification Factors for Senior Learning: A Case Study of Thai Seniors and Social Media Skill Learning

5. Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties

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