# Enhancing Industrial Processes Through Augmented Reality: A Scoping Review
## 2 Methodology
### Document Search  
According to [12], it is recommended that, to achieve a maximum count, searches in systematic reviews should include a combination of databases and publishers. To ensure adequate search performance (i.e., count, precision and number needed to read), we assume that literature searches for a systematic review should be conducted through at least a combination of four databases. The combination of four databases improves both the sensitivity and precision of the search process, ensuring that relevant studies are not missed and that screening efforts are optimised. Therefore, the following sources of information were chosen: Scopus, an extensive citation and abstract database covering a wide range of global and regional scientific journals, conferences and books, with a strict selection process to ensure data quality and relevance; SpringerLink, a renowned scientific platform offering high-quality content to academic researchers, scientific institutions and compa  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Number** & **Question** & **Motivation** \\ \hline RQ1 & What are the main benefits of applying AR in the optimisation of industrial processes? & Identify the advantages of applying AR in industrial processes. \\ RQ2 & What is the most used graphics engine? & Identify market trends and benefit from a large support community to make informed decisions. \\ RQ3 & In which industrial processes is it recommended & Ensure a strategic and beneficial adoption of AR \\ RQ4 & What challenges and limitations do industries & In industrial processes. \\ \hline \hline \end{tabular}
\end{table}
Table 1: Main questions and motivations.  
nies, providing access to a vast collection of books, journal articles and conference papers; MDPI (Multidisciplinary Digital Publishing Institute), a leading open access publishing institute, known for its article processing fee-based business model, which guarantees the rapid publication of peer-reviewed research and ensures unrestricted global accessibility and dissemination of scientific results; and IEEE Xplore, a relevant source of information that provides access to the technical and scientific literature published by the Institute of Electrical and Electronics Engineers (IEEE), including journal articles, conference proceedings, technical standards and other important documents, and which is an essential reference for researchers and practitioners in the fields of engineering, computer science and related technologies.  
The choice of these information sources ensures a comprehensive and high quality coverage of the relevant literature, allowing for a rigorous and well-founded systematic review of the implementation of AR in industrial processes [13; 14; 15]. First, a search for articles in databases from 2019 to 2024 was conducted. This time interval was chosen because the implementation of AR in industrial processes has advanced exponentially in recent years, so it was considered that selecting articles from 2019 to 2024 was an appropriate period to analyse the applications, advantages and disadvantages of AR in industry [16].  
This temporal approach allows capturing the most recent and relevant developments in the field. The search for documents in the various databases was carried out by entering the following combination of specific terms: ('augmented reality') AND ('industry' OR 'industrial process' OR'manufacturing' OR 'production' OR 'Industrial') AND ('optimization' OR'Enhancement' OR'Improvement' OR 'Maximization'). These keywords are directly related to the research questions, taking into account that the focus of the systematic review corresponds to the applications of AR in industrial processes. This article search and selection process is essential to ensure that the systematic review includes relevant and high-quality studies that provide a comprehensive understanding of the implications and benefits of AR in industrial processes.