ABSTRACT
Digital twin is one of the most rapidly developing technologies across various sectors to improve design, optimize resources and processes, and develop efficient systems. A digital twin is the digital representation of a physical thing or system that may be tracked, analyzed, and simulated to enhance the original's operation. The fundamental objective of this chapter is to discuss the framework and enabling technologies to design digital twin in various application domains. The authors categorized the various technologies as data acquisition and sensing technologies, integration and management technologies, modeling and simulation techniques, analytics and decision making, etc. Various challenges associated with the integration of various technologies and possible future research directions are also discussed in detail.
