Virtual Reality for Training in Assembly and Disassembly Tasks: A Systematic Literature Review

• Published in: Machines (Basel) 2024-08, Vol.12 (8), p.528
• Main Authors: Di Pasquale, Valentina, Cutolo, Paolo, Esposito, Carmen, Franco, Benedetta, Iannone, Raffaele, Miranda, Salvatore
• Format: Article
• Language: English
• Subjects: Augmented reality; Cognitive load; Collaboration; Cost benefit analysis; Customization; Disassembly tasks; Dismantling; Efficiency; Genetic algorithms; immersive technologies; industrial training; Learning; Literature reviews; Manufacturing; manufacturing industry; Motor ability; Operator performance; Planning; Productivity; Remanufacturing; Task complexity; virtual environments; Virtual reality; Workers
• ISSN: 2075-1702; 2075-1702
• DOI: 10.3390/machines12080528

The evolving landscape of industrial manufacturing is increasingly embracing automation within smart factories. However, the critical role of human operators, particularly in manual assembly and disassembly tasks, remains undiminished. This paper explores the complexities arising from mass customization and remanufacturing, which significantly enhance the intricacy of these manual tasks. Human involvement is essential in these tasks due to their complexity, necessitating a structured learning process to enhance efficiency and mitigate the learning–forgetting cycle. This study focuses on the utilization of virtual reality (VR) as an innovative training tool to address these challenges. By conducting a systematic literature review (SLR) on the impact of VR on training operators for assembly and disassembly tasks, this paper evaluates the current level of VR application, the used technologies, the operator performance, and the VR benefits and limitations. The analysis reveals a limited but promising application of VR in training, highlighting its potential to improve learning outcomes, productivity, and safety while reducing costs. However, the research also identifies gaps in the practical application of VR for training purposes suggesting a future research agenda to explore its full potential.