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Journey to Digital Twin Technology in Industrial Production: Evolution, Challenges, and Trends

  • Prithi Samuel
  • , Rajesh Kumar Dhanaraj
  • , Balamurugan Balusamy
  • , Ali Kashif Bashir
  • , Seifedine Kadry
  • SRM Institute of Science and Technology
  • Symbiosis Institute of Computer Studies and Research
  • Shiv Nadar University
  • Manchester Metropolitan University
  • Noroff University College

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

The Digital Twin is one of the game-changing inventions ushering in the Fourth Industrial Revolution that has the ability to completely alter the manufacturing landscape. A physical asset, method, or system’s “digital twin” can be monitored, analyzed, and optimized in real time. The purpose of this piece is to inform readers about the history, current use, and promising future of digital twins in manufacturing. Beginning around the turn of the 2000, the idea of a “digital twin” emerged. It became a powerful resource due to steady improvements in sensor technology, data analytics, and network infrastructure. In this essay, we trace the extraordinary evolution of the Digital Twin from theoretical framework to usable industrial tool, illuminating the key moments and ideas that shaped it along the way. We also go over the difficulties that businesses experience when trying to introduce Digital Twin solutions. Data integration and interoperability issues, cybersecurity concerns, and a high cost of deployment are just a few of the challenges that prohibit Digital Twins from being fully integrated into industrial production processes. Digital Twins are explored in terms of their potential applications and future growth in the industrial sector. Another example is the management of supply chains that uses AI and ML combined to increase predictive capacity, or the creation of Digital Twins for usage in collaborative multi-enterprise scenarios. The study investigates how Digital Twin technology could improve maintenance procedures and productivity. The research concludes with an in-depth discussion of the increasing prevalence of Digital Twin applications in manufacturing. Understanding the development of Digital Twin technology, being aware of its problems, and embracing the changing trends can help businesses optimize production processes, enhance decision-making, and drive success during the Fourth Industrial Revolution period.

Original languageEnglish
Title of host publicationDigital Twins in Industrial Production and Smart Manufacturing
Subtitle of host publicationAn Understanding of Principles, Enhancers, and Obstacles
Publisherwiley
Pages1-22
Number of pages22
ISBN (Electronic)9781394195336
ISBN (Print)9781394195305
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • artificial intelligence
  • cyber security machine learning
  • digital twin

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