Version 1
: Received: 6 April 2021 / Approved: 8 April 2021 / Online: 8 April 2021 (13:55:32 CEST)
How to cite:
Jose, T.; Sagar, G. What Significance Will Digital Twin Have in an Industrial Environment in the Future ?. Preprints2021, 2021040242. https://doi.org/10.20944/preprints202104.0242.v1
Jose, T.; Sagar, G. What Significance Will Digital Twin Have in an Industrial Environment in the Future ?. Preprints 2021, 2021040242. https://doi.org/10.20944/preprints202104.0242.v1
Jose, T.; Sagar, G. What Significance Will Digital Twin Have in an Industrial Environment in the Future ?. Preprints2021, 2021040242. https://doi.org/10.20944/preprints202104.0242.v1
APA Style
Jose, T., & Sagar, G. (2021). What Significance Will Digital Twin Have in an Industrial Environment in the Future ?. Preprints. https://doi.org/10.20944/preprints202104.0242.v1
Chicago/Turabian Style
Jose, T. and Gittil Sagar. 2021 "What Significance Will Digital Twin Have in an Industrial Environment in the Future ?" Preprints. https://doi.org/10.20944/preprints202104.0242.v1
Abstract
This paper is an attempt to forecast the potential application of Digital Twin in an industrial environment by adopting scenario analysis as part of technology monitoring. In recent years Digital Twin has become one of the most emerging topics in both the tech industry and academia. This field is the latest addition to industry 4.0. It has paved a great growth opportunity in the fields of Healthcare, manufacturing, and smart city areas. The Digital twin can be defined as mirroring the physical entities into a virtual environment where the status, health, and control of these entities can be monitored and controlled. It is a field where Artificial intelligence and the Internet of Things play a major role in the handshake between the two environments. In this paper we have done a thorough analysis to find out the possible future outcome of this technology in the manufacturing industry from the perspective of our fictious company. These scenarios expose various challenges and opportunities our organization may face in our future endeavour.
Keywords
Digital Twin(DT); Industry 4.0; DigiX; Internet of Things(IoT); Industrial IoT (IIoT); Artificial Intelligence; Scenario Analysis; Predictive Maintenance
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
