Paper Info
Title
A Digital Twin-Driven and Conceptual Framework for Enabling Extended Reality Applications: A Case Study of a Brake Discs Manufacturer
Abstract
With the recent advent of new concepts and technologies such as Internet of Things, Big Data, Artificial Intelligence, a new data-driven paradigm, named Digital Twin, is emerging in the context of the Fourth Industrial Revolution and is attracting the interest of academics and practitioners. Although the benefits offered by the Digital Twin in manufacturing are multiple, this concept has not yet reached its large-scale spread and a lot of effort is still needed, especially in terms of real-life applications. In this paper, a Digital Twin-based and conceptual framework for enabling extended reality applications is proposed and discussed. Its goodness is proven through the application to a real case study, with reference to a company that produces brake discs for automobiles. The proposed framework is able to determine the most convenient number of operators and Automated Guided Vehicles to be used in the production department. In the conclusions, the possible future developments of this research work are discussed, which mainly concern experiments through the use of the 5G network, which is able to guarantee an effective and efficient real-time alignment between the real environment and the digital twin. (C) 2022 The Authors. Published by Elsevier B.V.
Year
DOI
Venue
2021
10.1016/j.procs.2022.01.389
3RD INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING
Keywords
DocType
Volume
Digital Twin, Simulation, Extended Reality, Manufacturing, 5G
Conference
200
ISSN
Citations 
PageRank 
1877-0509
0
0.34
References 
Authors
0
9
Name
Order
Citations
PageRank
Mario Catalano100.34
Alessandro Chiurco200.34
Caterina Fusto300.34
Lucia Gazzaneo400.34
Francesco Longo500.34
Giovanni Mirabelli600.34
Letizia Nicoletti701.01
Vittorio Solina800.34
Simone Talarico900.34