Affiliation:
1. Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy
Abstract
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.
Funder
European Union—NextGenerationEU Plan
Reference76 articles.
1. A new engineering design paradigm-The quadruple bottom line;Procedia CIRP,2014
2. Proactive assessment of basic complexity in manual assembly: Development of a tool to predict and control operator-induced quality errors;Falck;Int. J. Prod. Res.,2017
3. Oh, K., Kim, D., and Hong, Y.S. (2015, January 2–5). Measurement of assembly system complexity based on the task differences induced from product variety. Proceedings of the ASME Design Engineering Technical Conference, Boston, MA, USA.
4. Latos, B.A., Kalantar, P., Burgert, F., Arend, M., Nitsch, V., Przybysz, P.M., and Mütze-Niewöhner, S. (2018, January 24–26). Development, implementation and evaluation of a complexity measure for the work of assembly teams in one-piece-flow assembly systems employing simulation studies. Proceedings of the 32nd Annual European Simulation and Modelling Conference 2018, ESM 2018, Ghent, Belgium.
5. A Model for Complexity Assessment in Manual Assembly Operations Through Predetermined Motion Time Systems;Alkan;Procedia CIRP,2016