# Optimizing Aviation Maintenance through Algorithmic Approach of Real-Life Data
## 4 Discussion
For example, diagrams differ from actual configurations, disassembly procedures are difficult to decipher from two-dimensional images or diagrams, and recording and documenting the processes and process times performed is very complex. Industry 4.0, in the sense of Aviation Maintenance 4.0, has enormous potential to eliminate or minimize these problems, which have been happening worldwide for some time. Increasingly, there is also talk of Industry 5.0, although the authors believe that the concept of Industry 4.0 is far from exhausted in several industries. As we have already mentioned, aviation is constantly evolving, so all the supporting processes of this sector must evolve at the same speed. This is the only way to ensure continuous, efficient, and safe development. Therefore, it is necessary to constantly search for new solutions and ways to implement advanced methods in various processes of aviation, whether through the use of software or hardware equipment, or also through the creation and updating of methods and process flows. In the context of this article and the topics it discusses, a methodology has been developed that is directly applied in practice to a specific aviation maintenance process, namely, aircraft wheel maintenance. This maintenance is time consuming and very complex. Accordingly, there must or should be clearly and comprehensively defined procedures for this maintenance; a methodology that not only provides a manual for experienced technicians, but can also serve as a guide for new technicians and employees in training. When such a methodology is available in real-time, it relieves the burden on experienced technicians, who can then devote themselves more effectively to their work. Technicians in training therefore have an effective and efficient tool to deepen their knowledge and monitor the practical progress of the process directly in the plant, when the methodology, in the form of an algorithm, together with an available manual, describes each process and its progress. Progressive technologies have become essential for ensuring efficient and effective aircraft maintenance. With the rapid advancement of technology, it is crucial for aircraft maintenance organizations to adopt these technologies to stay ahead in the competition. One such technology is the use of predictive maintenance, which helps organizations in identifying and addressing potential problems before they occur, reducing unscheduled maintenance, and improving aircraft availability. The use of augmented reality can assist maintenance personnel in performing their tasks more accurately and efficiently. Furthermore, the integration of big data analytics in aircraft maintenance can help organizations in making data-driven decisions, leading to improved operational efficiency and reduced maintenance costs. The implementation of these technologies also helps organizations in complying with regulatory requirements, ensuring the safety and reliability of aircraft operations. The implementation of progressive technologies in aircraft maintenance can provide numerous benefits, including improved operational efficiency, reduced maintenance costs, increased safety, and compliance with regulatory requirements. Integrating real-life data into decision-making processes is becoming increasingly important in various industries, including aviation. The integration of real-life data helps organizations to gain a deeper understanding of their operations, identify trends and patterns, and make informed decisions. By utilizing real-life data, organizations can optimize their processes, improve efficiency, and make more informed decisions. This, in turn, can lead to improved performance, reduced costs, and increased customer satisfaction. In aviation, the integration of real-life data is particularly important in the maintenance and operations of aircraft.