The goal of this study is to investigate the theoretical underpinnings of
smart manufacturing's use of digital twins, product life cycles, and
cyber-physical systems. By integrating the flow of information as well as
data throughout all phases of corporate operations, digitization is the
foundation that enables swift reaction to constantly changing business
environments. One of the 4th Fourth Revolution's technologies, known
as a "digital twin," has emerged in reaction to the advancement of
manufacturing techniques, goods, and services. Production goods and
systems are no longer sophisticated systems that carry out their tasks and
meet quality standards; they now also interact with other parts, goods,
and services through the Internet of Things via cyber networks.
According to this article, the concept of a digital twin hinges on
controlling the full product life cycle through the integration of the
physical and virtual worlds via cyber-physical systems through
cyberspace. Additionally, it demonstrates how digital twin processes and
analyzes data using machines learning, AI, IoT sensors, computing in the
cloud, and virtual modeling to support development and decision-
making. In order to boost industrial productivity, cut costs, forecast
failures and unexpected stops, and perform predictive maintenance, it
was required to create a convergence within the material universe and
cyber domains.