Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

Abstract

Augmented Reality (AR) has gradually become a mainstream technology enabling Industry 4.0 and its maturity has also grown over time. AR has been applied to support different processes on the shop-floor level, such as assembly, maintenance, etc. As various processes in manufacturing require high quality and near-zero error rates to ensure the demands and safety of end-users, AR can also equip operators with immersive interfaces to enhance productivity, accuracy and autonomy in the quality sector. However, there is currently no systematic review paper about AR technology enhancing the quality sector. The purpose of this paper is to conduct a systematic literature review (SLR) to conclude about the emerging interest in using AR as an assisting technology for the quality sector in an industry 4.0 context. Five research questions (RQs), with a set of selection criteria, are predefined to support the objectives of this SLR. In addition, different research databases are used for the paper identification phase following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology to find the answers for the predefined RQs. It is found that, in spite of staying behind the assembly and maintenance sector in terms of AR-based solutions, there is a tendency towards interest in developing and implementing AR-assisted quality applications. There are three main categories of current AR-based solutions for quality sector, which are AR-based apps as a virtual Lean tool, AR-assisted metrology and AR-based solutions for in-line quality control. In this SLR, an AR architecture layer framework has been improved to classify articles into different layers which are finally integrated into a systematic design and development methodology for the development of long-term AR-based solutions for the quality sector in the future.

What Is Significant in Modern Augmented Reality: A Systematic Analysis of Existing Reviews

“…Although, in this case, there is increased diversity in the nature of applications, since they come from different areas, the ones achieving the highest score in providing the selected taxonomy criteria are the publications by Li et al [ 87 ] in the field of engineering, and the one by Ho et al [ 88 ] in the field of industry, both with a 7 out of 10. In Figure 7 we can see which criteria are most and which are least used by researchers in reviews of AR in education.…”

Quality methods in Virtual and Augmented Reality: A systematic literature review

“…In the following, the further steps of the planning are presented. For sub-step 1.2 Derivation of requirements, the selection of bibliographic sources is made on the databases Scopus and web of science, because for related SLR in the area of Lean Management (Salentijn et al 2021), Virtual Reality (Domingueti et al 2021;Mak et al 2020), Augmented Reality (Ho et al 2022;Quandt and Freitag 2021: 4 f), Education (Checa and Bustillo 2020) and Concepts these databases have provided the most results and thus the largest possible overview can be achieved. With the catchwords, the three topic areas VR/AR (assistance systems), Lean Management and Six Sigma as well as education are to be subdivided.…”

Spatial Data-Based Automatic and Quantitative Approach in Analyzing Maintenance Reachability

“…The advent of virtual reality technology provides better support for maintainability. The current research on virtual maintenance technology focuses on the following aspects: virtual maintenance prototype modeling [19][20][21][22][23], virtual simulation action process generation [24][25][26], maintenance training [27,28], product design [29,30], and maintainability evaluation under virtual simulation [31][32][33].…”