  The recent advancement of information and communication technology makes
digitalisation of an entire manufacturing shop-floor possible where physical
processes are tightly intertwined with their cyber counterparts. This led to an
emergence of a concept of digital twin, which is a realistic virtual copy of a
physical object. Digital twin will be the key technology in Cyber-Physical
Production Systems (CPPS) and its market is expected to grow significantly in
the coming years. Nevertheless, digital twin is still relatively a new concept
that people have different perspectives on its requirements, capabilities, and
limitations. To better understand an effect of digital twin's operations,
mitigate complexity of capturing dynamics of physical phenomena, and improve
analysis and predictability, it is important to have a development tool with a
strong semantic foundation that can accurately model, simulate, and synthesise
the digital twin. This paper reviews current state-of-art on tools and
developments of digital twin in manufacturing and discusses potential design
challenges.
