Issue link: https://iconnect007.uberflip.com/i/1228683
58 SMT007 MAGAZINE I APRIL 2020 ities are straightforward, but the deliverables are essential to having a successful project. The Digital Twin Model Increasingly common for Industry 4.0 imple- mentation is the use of the digital twin mod- els. These virtual predictive models for a prod- uct, process, or service contribute a predictive model for engineering, manufacturing, deliv- ery, and sustainment (Figure 4). The pairing of the virtual and physical worlds allows analysis of data and monitoring of sys- tems to head off problems before they occur. This allows for the prevention of downtime, present- ing new opportunities, and the ability to plan the future by using simulations. The models and simulations are fed by IoT and the internet of systems (IoS) following the data structures and data ownership defined for the planned future networking system (Figure 3). SMT007 Figure 3: The data ownership and structures for the eSmart factory have a management environment and a technical environment dissected into a hierarchical, geometric, and functional dispersion. Figure 4: The digital twin model is used increasingly in the smart factory for predictive results. (Source: Machine Design, March 2019)