In the aviation industry, risk management and technical integrity of air systems are very important. Maintenance grouping, as one of the main risk management tools in the aviation industry, refers to a set of activities aimed at maintaining and improving the technical integrity or reducing the risk of maintaining aviation systems. Since there may be a set of equipment and parts in an air system that need maintenance or repair, optimization of maintenance grouping can improve performance and increase the safety and technical accuracy of the air system. In this article, it will be analyzed and reviewed the optimization methods of maintenance grouping in air systems. First, the importance of risk management and the technical accuracy of air systems will be examined, and then a detailed description of the maintenance grouping steps will be discussed. In the following, various optimization methods and algorithms that are used to improve the performance of maintenance grouping will be reviewed. Then, the advantages and limitations of each method will be discussed. In the end, the results and key implications of this research will be evaluated and suggestions will be made to optimize maintenance grouping in air systems. The results of the study show that the genetic algorithm can be used to improve resource utilization, scheduling efficiency, and cost reduction in maintenance grouping. This can have significant benefits for the aviation industry, as it can help to reduce costs, improve aircraft availability, and enhance safety.

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