# Industrial Metaverse: A Comprehensive Review, Environmental Impact, and Challenges
## 4 Use Cases and Deployment  
Business enterprises using the IM's use cases are starting to realize more benefits than those in the planning stage, especially in terms of safety improvement (9%), capital expenditure savings (15%), and sustainability (10%), according to a study by Nokia and EY [42,43]. Industrial use cases are being implemented throughout the value chain to enhance current business processes by providing visualization, data interoperability, and interwoven digital-physical worlds--even though the Metaverse's full potential may yet be undiscovered [44]. A summary of the six IM use cases is provided in Table 1. The first use case focuses on engineering and industrial design, wherein several interconnected design spaces, each generating a distinct experience, are created by Metaverse designers within the meta-design space that constitutes the Metaverse [45]. The macro and micro levels of real-world design are both improved by Metaverse design. At the macro level, designing in the Metaverse may entail working together in real time inside a virtual representation of the inside of large-scale items such as aeroplanes. At the micro level, parts might be tested, changed, and iterated in a matter of seconds as opposed to investing money and effort in constructing or printing a 3D model or prototype. Practically, design engineers can construct detailed industrial designs because of the capabilities of the Metaverse. To view the product in a real-world environment, interact with it, and alter the design, they employ virtual reality. This method allows one to innovate more quickly and cost effectively because it saves time and reduces the cost of physical prototypes. In addition, the Metaverse offers designers and engineers fresh viewpoints and inspiration, enabling them to produce more original and useful creations. IM applications can speed up design and engineering processes and help one launch better goods faster. Logistics and supply chain management make up the second use case. It concentrates on the transparency of the supply chain and insight into how goods are produced, distributed, stored, and sold and will grow because of the Metaverse. Additionally, the Metaverse encourages collaboration along the supply chain,improving the effectiveness and efficiency of the entire chain [46]. Examples of IM use cases include VeChain and TradeLens. They demonstrate how supply chain processes can be streamlined and optimized using this technology. The TradeLens technology automates and digitizes supply chain activities, minimizing paper-based documentation and manual processes, using smart contracts and digital signatures. VeChain simulates every stage of the supply chain, from raw materials to finished goods, using blockchain technology and the Metaverse. Blockchain technology is used to track each transaction and movement. The third use case centers on manufacturing operations and maintenance. Industrial big data, operational data management, artificial intelligence, robotic process automation and autonomous systems, digital twins, and cloud computing are just a handful of the state-of-the-art technologies that constitute the IM. In the manufacturing industry, the Metaverse enhances efficiency through product design, production, and maintenance:  
1. In product design: Product design is the process of making physical or digital products. The Metaverse enables designers to have the full autonomy to create products that never existed. For instance, fashion companies like Nike and Balenciaga have created items that, even if they were available to consumers, they might not necessarily choose to wear in real life, but which help them create or define their virtual personas on this platform. Given the nearly endless innovation, designers have never-before-seen opportunities to push the limits of design [47]. 2. Improve the manufacturing and production process: Metaverse simulations provide the capability to test several factory scenarios and gain insights from scaling up or reducing production.