Aircraft maintenance is a critical and complex process that requires efficient planning and optimization of various resources. Optimization problems in aircraft maintenance processes can be classified as aircraft maintenance routing, aircraft maintenance sequencing/scheduling, and task allocation. These problems involve scheduling maintenance or optimal planning of task periods required by the authority/manufacturer. In this thesis, we focus on the task scheduling problem, which enables creating a maintenance Gantt chart, and the task allocation problem, which assigns technicians to task cards that describe the jobs to be performed. In the first stage, a resource-constrained task scheduling model was established that tried to minimize the total maintenance time. In the second stage, a multi-objective mathematical model was created that tries to maximise the convenience between technicians and cards, maximise the synergy between technicians and ensure workload balance.The convenience between technicians and cards is measured using a fuzzy rule-based system that considers the criticality of cards and the experience of technicians. Furthermore, we propose a dynamic process for integrating the two models.

In the first model, a 0-1 (binary) programming model  is solved and card schedules were obtained for use in the second model. We used a novel version of the ε-constraint method, called AUGMECON2, to solve the model, and we analyzed it in a real-world case study at an aircraft maintenance company in Turkey. Our results demonstrate that application of our model can produce high-quality solutions that enhance the workforce plan in practice, reduce the maintenance costs and delays, and improve flight safety. We also discuss some recommendations for workforce management in aircraft maintenance, considering the dynamic and stochastic environment of aircraft maintenance and the high proportion of non-routine tasks.