# Industrial Metaverse: A Comprehensive Review, Environmental Impact, and Challenges
## 4 Use Cases and Deployment
### Deployment
Because it can precisely replicate an entire manufacturing line and can eventually aid in essentially planning entire factories before a single brick is constructed, the digital twin of planning is significant. One OEM set out to establish a setting in which the digital twin of planning was grounded in accurate, real-time, and lifelike measurements from the factory shop floor, rather than in human experience, manual calculation, or trial and error. Virtual simulation data and actual production data are collected and analyzed simultaneously while any non-conformities are being observed. In order to facilitate collaborative and integrated simulation and visualization, an IM architecture was created, making sure that all authoring tools (as data sources) were connected to layers. A data management layer, together with the layers for authoring tools, simulation, and visualization, provides the foundation of these linkages. The OEM lowers the risk of new technology introductions, has stricter adherence to ramp-up curves, earlier concept validations, and overall, a more stable production process and a better understanding of the behavioral model of a factory thanks to its ability to simulate entire productions before any real undertakings. Additionally, the digital twin of planning and IM architecture promote more flexible, modular production where it is possible to automatically choose the best plant at the touch of a button to produce a specific part or model. This lower energy consumption promotes sustainability. The car manufacturer might expand even farther and build a digital twin of operations, which might enhance simulations by adding functions like predictive maintenance and real-time digital control. Significant variations in the energy usage per car for the Volkswagen Group between 2019 and 2023 are reported by the authors in [76]. In 2023, the energy consumption per car was less than 2000 kilowatt-hours per vehicle manufactured, which is a significant reduction over the previous year when a vehicle needed approximately 2200 kilowatt-hours to be produced. The breakdown of energy usage in a Renault company bodywork assembly unit is shown as components in Figure 8. Paint, machining/assembly, compressed air, building heating, and other processes are among the energy components [77]. Compressed air seems to be used at the lowest proportion and paint shop at the highest percentage. Figure 8: Analysis of energy components [77]. Water is heavily consumed by the worldwide automotive industry for a variety of industrial processes. A car's production is estimated to require more than 39,000 gallons of water, although estimates differ on whether or not tire production is included [78]. The overall amount of water used in the production of cars has been able to be reduced by 51.4% between 2005 and 2022 thanks to long-term efforts for lowering water consumption [79]. (D) AI and digital twins for network administration (Vodacom Group): Vodacom Group teamed up with the American chip manufacturer Nvidia to enhance its tower management skills in Cape Town through the use of AI and simulation techniques. The research runs several different network configurations in real time using a digital twin of Vodacom's Cape Town network. The operator has observed the digital twin to be helpful; unfortunately, the virtual version of its network requires much processing power. The project cannot be expanded to other cities due to the cost involved, and this challenge is discussed in Section 7. (E) STS3D--VR and AR for training simulations in mining: A Pretoria-based business called Simulated Training Solutions (STS3D) makes use of immersive technology including virtual reality (VR) and AR to create virtual underground mining environments for staff training on many subjects like drilling, blasting, and operating heavy machinery underground in an endeavor to promote health and safety.