Augmented Reality in Industrial Manufacturing - Identification of Application Areas for AR-Based Quality Control/Assembly Based on Technology Suitability

Autor: Ho, Phuong Thao, Albajez, José Antonio, Mazo, Jorge Santolaria, Yagüe-Fabra, José Antonio
Zdroj: Advances in Science and Technology; October 2023, Vol. 132 Issue: 1 p233-240, 8p
Abstrakt: Augmented Reality (AR) has started to be gradually utilized in industrial manufacturing. However, the gap between novel stage and industrial AR-based applications must be comprehensively solved. In this study, the task technology fit (TTF) and method of time measurement (MTM) are applied and put together to create a comprehensive map demonstrating the relationship between manufacturing tasks and AR-solution features. In addition, this map will support exploring the suitability of AR-based solutions and identifying the application areas of AR for industrial manufacturing, primarily focused on quality control, metrology and assembly tasks. By considering both the viewpoint of developers/users and the scientific principles underlying manufacturing tasks in this comprehensive map, the usability and effectiveness of the final AR solution are also ensured at an early stage of AR-based application development.As a result, this paper provides a useful system to utilize AR capabilities for more complex-multistep tasks in a standardized way. Thus, more potential development and improvement of AR-based solutions for quality 4.0, virtual metrology, and complex assemblies in an industrial manufacturing context could be holistically established and built.
Databáze: Supplemental Index