Today, the aircraft Maintenance, Repair, and Overhaul (MRO) business has become a much significant function in the aviation industry and shows great improvements in its internal functions and practices. The growth of digital technologies plays an important role in these improvements of MRO business. Recently, many organizations have become a part of its value chain. UK’s Aerospace and Technology Institute (ATI) has integrated technology, engineering, and manufacturing with new service-based business models.
Latest applications to optimize the data analysis in MRO technologies include a new type of sensors with temperature-resistant and highly accurate data processing which will be placed near the main engine. Some other technological innovations like augmented reality, robotics featuring technologies, and data aggregation technologies can also be integrated with MRO applications.
Augmented Reality (AR) OR Virtual Reality (VR) is a technological innovation that can save thousands of man hours of the employees for the maintenance. AR can enable the organizations to have enhanced training of employee personnel by ensuring accurate technical specifications and efficiently organized instructions for new tasks. Integration of AI with AR helps create automated sensors with machine learning technologies to ensure a safest, fastest, and cost-effective maintenance facility.
Due to the risky and cost-intensive behavior of aviation, the technological applications and maintenance practices have to be tested on implementation. This will probably take over a month or beyond. This will often result in variations in the profit of the organization. Digital twin applications help organizations to customize and improve planning to ensure maximized asset utilization.
Big data analytics can also play a vital role in providing assistance to the aviation industry. As the engine uses 5000 sensors with which generates 10GB data per second, it should be analyzed properly and stored efficiently. For this purpose, big data analytics becomes a feasible option, and it is capable of implementing predictive maintenance and prediction of supply chain demand. Big data analytics also helps in improving asset life cycles and reducing various costs with better machines, quality products, and quality of maintenance personnel.
AI has been implemented by OEM’s, MRO, and suppliers with the implementation of automated applications which facilitates better customer communications, giving suggestions for up-selling, and services detection of threats and malfunction. These advantages make the aviation industry much efficient with the MRO integration.