Digital Twin in complex operations environments: potential applications and research challenges

• Type: Article in International Conference Proceedings Book
• Date: 2023

Authors

Ghanbarifard, R (Author) Other; Almeida, AH (Author) Other; Américo Azevedo (Author) FEUP

Conference proceedings International

Title: Proceedings - 2023 3rd Asia Conference on Information Engineering, ACIE 2023

Pages: 81-91

3rd Asia Conference on Information Engineering, ACIE 2023

Chongqing, 5 January 2023 through 7 January 2023

Indexing

Scopus - 3 Citations

Other information

Authenticus ID: P-00Z-0MV

DOI: 10.1109/acie58528.2023.00022

Abstract (EN): This paper aims to thoroughly discuss the use of Digital Twin technology in complex operations environments, highlighting its potential applications and the research challenges that need to be addressed. This is necessitated by the fact that currently there is no comprehensive literature review and framework for implementing Digital Twin technology in complex operations environments. Furthermore, existing interpretations of DT implementation are inadequately detailed and not very informative in this area. This may be a consequence of the difficulties of collecting and extracting useful information from data in real-time. Another drawback worth mentioning is that Digital twins at the moment center on an individual or isolated part instead of integrating the whole system and no current work talks about this holistic approach. This paper will focus on Digital Twins in complex operations environments and their applications. A review of scientific literature on the use of Digital Twins in complex operations environments is performed and the articles are categorized by the problems and challenges that they address requiring DT as a solution. A selection of papers that focus on this topic and represent the current situation of research will be emphasized. In conclusion, this work will be utilized as a baseline study to propose a Digital Twin reference framework, which eventually leads to implementing and evaluating a comprehensive Digital Twin methodology in complex systems. © 2023 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10