Digital Twin Technology Challenges and Applications: A Comprehensive Review

A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin's present and future behavior. It is a key enabler of data-driven decision making, complex systems monitoring, product validation and simulation and object lifecycle management. As an emergent technology, its widespread implementation is increasing in several domains such as industrial, automotive, medicine, smart cities, etc. The objective of this systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in engineering and beyond.

Automated summary

A digital twin is a virtual representation of a physical object or process that collects information from the real environment to validate and simulate its present and future behavior. It plays a crucial role in data-driven decision making, complex systems monitoring, product validation and simulation, and object lifecycle management.