Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)

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Functionality of Digital Twin in Shopfloor Employees Training with AI and ML Technologies

Authors
C.P. Chandra Mohini1, *, V. Raghavendran2
1Research Scholar, Department of Computer Science, VISTAS, Chennai, India
2Assistant Professor Department of Computer Science, VISTAS, Chennai, India
*Corresponding author. Email: mohinisuryan@gmail.com
Corresponding Author
C.P. Chandra Mohini
Available Online 3 June 2024.
DOI
10.2991/978-94-6463-433-4_35How to use a DOI?
Keywords
Digital Twin; Learning & Development; Adult Learning; Corporate Learning; Advanced Learning Technologies; Intelligent System; AI; Technology; Predictive Analytics; Manufacturing; Data Analytics; Decision Making; Research Opportunities; Shopfloor Employees; Training; Education; Skill Development
Abstract

The Digital Twin Technology is one of the fascinating innovations that shape the future. Digital Twin is an exact clone of a physical product, it replicates, not just the physical object but also its behavior and its entire life cycle. Digital Twin can be considered as a combined version of emerging technologies such as artificial intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and Data Analytics. Digital twin technologies can be used as a training aid for shopfloor employees and their skill development. This research focuses on how to design and develop training programs to elevate employees’ skills for workforce development using digital twins of various machinery and equipment. Machine learning can be considered as a subset of Artificial Intelligence that allows computers to learn from data and experiences without special programming. Intelligent systems that are capable of handling difficult tasks can be developed using machine learning. Three primary categories of machine learning exist: reinforcement learning, unsupervised learning, and supervised learning.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
3 June 2024
ISBN
978-94-6463-433-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-433-4_35How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

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TY  - CONF
AU  - C.P. Chandra Mohini
AU  - V. Raghavendran
PY  - 2024
DA  - 2024/06/03
TI  - Functionality of Digital Twin in Shopfloor Employees Training with AI and ML Technologies
BT  - Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)
PB  - Atlantis Press
SP  - 465
EP  - 477
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-433-4_35
DO  - 10.2991/978-94-6463-433-4_35
ID  - Mohini2024
ER  -