Digital Twin of Product Life Cycle

Abstract

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 decisionmaking. 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.