## 1 Introduction  
During the early 2020s, the COVID-19 pandemic caused significant disruption to commercial enterprises in all industries worldwide. To slow the spread of the disease, many countries implemented physical distancing measures, including travel restrictions and bans on public events, which in turn led to an increased demand for remote work [1]. The resulting need for innovative solutions, such as virtual reality (VR) technology and online platforms for real-time communication, has intensified. Immersive virtual reality (IVR) technology, for example, allows people to engage in shared virtual worlds simultaneously, even when physically distant [2]. Advancements in head-mounted display technology have enabled a growing number of applications for immersive virtual reality, including those in healthcare, education, fashion, and tourism [3]. Figure 1 provides an illustration of metaverses that employ immersive virtual reality by combining three-dimensional spaces with a virtual representation of the user. These technologies enable efficient collaboration on remote projects and allow essential activities and meetings to take place even when pandemic constraints make in-person gatherings impossible. The utilization of immersive technology within a multiuser platform, such as the metaverse, has the potential to enhance training and information retention in specific applications. However, the development of such an application requires careful consideration of various factors, including network performance challenges, user synchronization, and system security [4]. Despite significant investments in the metaverse industry leading to explosive growth, there are also several problems that must be addressed [5]. Research in this area has the responsibility to study these problems and provide guidelines for successful metaverse development. The lack of academic discussion on the topic of the metaverse is a major concern. In manufacturing environments, it is important to question solutions to problems, direct the search for best practices, and verify that they are being implemented correctly. These environments can be disorganized, and participant observation can help identify the need for methods or tools to guide results more effectively [6]. Despite their various applications, according to the authors' knowledge, there is no previous work in the literature specifically addressing the technical issues related to the development of VR applications for standalone devices like the Meta Quest 2 (from Meta Platforms, currently the world's best-selling virtual reality headset because of its high quality, competitive price, and ability to operate without cords, giving users freedom of mobility) [7]. Recent works researched the use of immersive virtual reality to enhance industrial training; however, they lack in-depth exploration of the software development process, particularly in terms of creating a framework for implementing such training programs [8; 9]. Several studies have explored the application of virtual reality headsets; however, they have not provided a justification for the use of outdated equipment like the Oculus Rift S, which demands a high-performance computer [8; 9]. Recent research has highlighted the significance of optimizing 3D models to enhance performance in virtual reality applications; nonetheless, there is a noticeable gap in the literature concerning comprehensive investigations into the optimization of 3D models, particularly tailored for industrial applications with standalone headsets, such as the Meta Quest 2 [8; 9; 10]. As a result, there is still a notable deficiency in the existing knowledge on this subject. Since these standalone devices operate on the Android operating system, the development process involves multiple stages and optimization to ensure smooth performance above the accepted framerate with high quality, thereby preventing motion sickness [10].