EconPapers    
Economics at your fingertips  
 

Augmented Reality (AR) and Virtual Reality (VR) in Maintenance Training

Mohammad Yazdi ()
Additional contact information
Mohammad Yazdi: Macquarie University

Chapter Chapter 10 in Advances in Computational Mathematics for Industrial System Reliability and Maintainability, 2024, pp 169-183 from Springer

Abstract: Abstract The introduction of Augmented Reality (AR) and Virtual Reality (VR) technologies has ushered in a paradigm shift in industrial maintenance training methodologies. This paper explores the transformative potential of AR and VR in creating immersive training environments, enhancing the efficiency and efficacy of hands-on training modules. By leveraging the capabilities of these technologies, industries can provide real-time, interactive simulations that offer trainees a profound understanding of complex processes, machinery operations, and safety protocols. Furthermore, integrating AR and VR with traditional training modalities ensures a holistic learning experience, bridging the gap between theoretical knowledge and practical skills. The future trajectory of AR and VR in industrial training points towards a more collaborative, adaptive, and global training landscape, emphasizing the continuous evolution of learning methodologies in the industrial sector. This paper underscores embracing these technologies to foster a safer, more competent, and well-equipped workforce.

Keywords: Augmented reality (AR); Virtual reality (VR); Industrial maintenance; Training methodologies; Transformative potential; Immersive training environments; Efficiency; Efficacy; Hands-on training; Real-time; Interactive simulations; Complex processes; Machinery operations; Safety protocols; Integration; Theoretical knowledge; Practical skills; Collaborative; Adaptive (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-53514-7_10

Ordering information: This item can be ordered from
http://www.springer.com/9783031535147

DOI: 10.1007/978-3-031-53514-7_10

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:ssrchp:978-3-031-53514-7_10