# Industrial Metaverse: A Comprehensive Review, Environmental Impact, and Challenges
## 4 Use Cases and Deployment
The provision of optimization opportunities within the facilities through these simulations can be obtained without affecting the manufacturing that is already taking place. Practically, in a smart factory, operators can use Microsoft Dynamics 365 Guides for real-time instructions overlaid on equipment, while IoT sensors collect data on machine performance, quality metrics, and inventory levels. This renders it possible for operators to quickly identify and solve problems, optimize production settings, and enhance the general effectiveness and quality of manufacturing. 3. Improve quality control: IoT sensors are deployed for the harnessing of data in manufacturing processes. This facilitates the collection of real-time data from the various equipment and machinery. Subsequently, one can examine data from the production procedures to find flaws or problems that require attention [48]. Manufacturing companies can streamline processes and boost efficiency by using Metaverse technologies and applications such as VR and AR. For example, Dynamics 365 Guides and Remote Assist can be leveraged for 3D drawing in a real-world environment. Moreover, front-line workers wearing a HoloLens can also annotate their physical space with digital ink, creating an interactive and immersive experience. In the automotive manufacturing industry, BMW workers wear headsets that overlay digital information onto real-world objects. This allows them to visually inspect and identify defects in the components in real time, reducing the risk of defective products reaching the assembly line or being shipped to customers. 4. Better warehouse and logistics management: AR can be leveraged to streamline logistics and warehousing procedures by utilizing Metaverse technology. A case in point is that of DHL, a global logistics company that is using augmented reality (AR) headsets to provide their workers with real-time information, such as order details, inventory locations, and picking instructions, overlaid onto their field of vision. This allows their workers to work hands-free and efficiently navigate the warehouse, reducing errors and improving order accuracy. Using \"immersive training environments\" for training is the focus of the fourth use case. It is necessary to train workers, both seasoned and novice, in Industry 5.0 working settings and from the Operator 5.0 point of view. What is required is more effective and efficient hands-on training, whether it be locally or virtually, and this promotes market demand for these sophisticated cyber-physical training environments. This is so that workers, both experienced and novice, can safely experience and learn from their operational mistakes and poor decisions. Even though mistakes can be the best teachers in some industrial situations, it may not be practical or safe to use them as a learning tool. The significant costs, hazards, and time-consuming activities that traditional physical or virtual training settings entail for businesses can, thus, be reduced with the use of contemporary IM-based training environments. However, \"safe\" immersive IM environments can be used where employees can experiment with novel and creative methods of doing things, even using trial-and-error techniques, which may result in process enhancements. A better user experience is one of the most significant advantages of using \"Metaverse-based solutions\" while training employees. Complete immersion offers both perceptual and cognitive aspects of the entire environment and the issues, as well as a richer user experience [49]. As an example, complex machinery can be practiced on and operated by trainees, who can also receive safety instructions, learn how to perform maintenance and repairs, conduct remote training, and acquire critical soft skills. This promotes staff that is more effective and knowledgeable.