# Enhancing Industrial Processes Through Augmented Reality: A Scoping Review
## 5 Conclusions
\begin{table}
\begin{tabular}{p{142.3 pt} p{142.3 pt} p{142.3 pt} p{142.3 pt}} \hline
**Title** & **Before AR Implementation** & **After AR Implementation** & **Percentage of Optimisation (\%)** \\ \hline Augmented Reality-based Method for Road Maintenance Operators in Human-Robot Collaborative Interventions [43] & Time to execute the task by expert users without AR\(-\)2.5 min. & Time to execute the task by expert users with AR\(-\)3.5 min & Using AR shows a clear increase in efficiency when performing the task as it reduces the time by about 28\%. \\ \hline Data Mining and Augmented Reality: An Application to the Fashion Industry [44] & Standardised duration of the quality control procedure & Standardised duration of QC procedure with AR technology & It is observed that the normalised duration of the quality control process using Expert OK = 7.68 & AR of expert operators is 24.63\% faster \\  & Non-expert OK = 9.84 & Non-expert OK = 5.01 & and 49.08\% faster in non-expert operators. \\ \hline Design of Augmented Reality Training Content for Railway Vehicle Maintenance Focusing on the Axle-Mounted Disc & Group A obtains an efficiency score of the executed task of the aze-mounted disc brake system through manual brochure after 47.2 & Group A obtains an efficiency score of the light maintenance task of the axle-mounted disc brake system through manual brochure after 47.2 & A higher efficiency of 32.53\% of the task performed by AR guide is observed. \\ \hline Development of Augmented Reality Application for Online Inspection of Expressive Vehicles Using Microsoft HoloLens [45] & The actual inspection cycle from an on-site inspection to data entry in the office takes approximately 4.5 h. & Using the digital AR approach developed for an in situ inspection of highway strutchers can be performed in an inspection time of 1 h & Using an AR approach can decrease inspection time by approximately 78\%. \\ \hline Development of Augmented Reality System for Photectivity Enhancement in Offshore Plant Construction [46] & Average working time (min) for interference check of the system > 40; Estimated workload > 180 & Average working time (min) for interference check of the plant \(<\) 15; Estimated once check of the workload \(<\) 60 & In the inspection process, the checking and interference time is reduced by 62.5\% and the workload time by 33.33\%. \\ \hline Development of Augmented Reality Technology Implementation in a Subbuilding Project Relational Process [31] & The number of labour hours required for repair activities in the equipment process with AR is 12.973.06 h. & The number of labour hours required for repair activities in the equipment process with AR is 9600 h. & The application of AR technology in the repair process reduces the process time by 26\%. \\ \hline Dynamic Mixed-Reality Assembly Guidance Using Optical Recognition Methods [22] & Number of components placed in the assembly task by inexperienced users 71 & Number of components placed in the assembly task by experienced users 80 & It is observed that the number of components placed by experienced users is 12.6\% higher than that of \\ \hline Effect of Augmented Reality Support on Quality Inspection of Welded Structures [35] & Mean task completion time of CI = 128.3 s and G2 achieved a mean time of 1528 s with the AR approach. & Mean task completion time of CI = 927.8 s and G2 achieved a mean time of 1051.5 s with the AR approach. & G1 task completion time is reduced by 25.07\% and G2 by 31.18\%. \\ \hline Effectiveness on Training Method Using Virtual Reality and Augmented Reality Applications in Automobile Engine Assembly [47] & The percentage improvement after performing the task with AR training without markers is 37/40. & The percentage improvement after performing the task with AR training without markers is 37/40. & An improvement is observed when performing the task when trained with AR without markers 60\% higher than that of VR. \\ \hline \end{tabular}
\end{table} 
Table 3: _Cout._