Enhancing Maintenance Training with Mobile Augmented Reality: An AHP-Based Development Approach

Abstract

The industrial landscape has witnessed a remarkable proliferation of automated systems in recent years, encompassing various technologies such as robotic arms, CNC machines, and AS/RS systems. These computerized systems, owing to their inherent flexibility, have swiftly adapted to the evolving contours of production processes. However, this paradigm shift in industrial operations necessitates a commensurate evolution in the workforce's skill set. This study's primary aim is to pioneer the development of a mobile augmented reality solution designed to elevate maintenance training. Utilizing the Analytic Hierarchy Process (AHP), our goal is to assess and prioritize the importance of course content, laying a solid groundwork for integrating mobile augmented reality into maintenance training. Through meticulous identification of user requirements and the reasonable prioritization of critical features throughout the development process, our innovative approach culminates in an augmented reality-based training application tailored to meet the specific needs of welding robot maintenance staff. This application offers an extensive repository of information on part components, preventive maintenance protocols, and troubleshooting insights. Our research substantially enhances maintenance training quality, bridging the chasm between theoretical knowledge and practical proficiency.