@article{article_1724105, title={OPTIMIZATION OF INVENTORY COSTS OF AIRCRAFT SPARE PARTS WITH MIXED INTEGER PROGRAMMING}, journal={Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi}, volume={12}, pages={153–186}, year={2025}, author={Ekin, Emre and Eroğlu, Ergün}, keywords={Envanter Yönetimi, Komponent Yönetimi, Poisson Dağılımı, Karışık Tam Sayılı Programlama, Optimizasyon}, abstract={The rapid growth in the aviation sector has highlighted the importance of inventory management in aircraft maintenance and repair. Effective inventory control is crucial for airlines to ensure profitability and continuity. Companies aim to minimize stock costs while maximizing service levels. Linear Programming helps achieve these goals. This study, conducted in Turkey’s largest aircraft maintenance center, identified 192 components with inventory shortages for narrow-body aircraft as of December 2022. Using mixed integer programming, it determined the necessary spare parts investment to achieve a 96% service level. Poisson distribution was used to calculate service levels for various spare part quantities in 10 scenarios. In the application part, the current number of spare parts for A320 type narrow body aircraft spare parts in the aviation maintenance and repair sector shows the number of spare parts we have as of the end of 2022. The application problem has been solved with Linear Programming. IBM CPLEX Optimization Studio 12.8 application has been used to minimize inventory cost. In this study; company 3. while reaching the service level that the party undertakes to its customers and ensuring customer satisfaction, on the other hand, it has realized inventory optimization by reducing inventory costs. The replacement order costs incurred according to the consultant firm’s proposed replacement numbers for the year 2023 and the replacement order costs incurred as a result of solving the optimization problem that provides the desired level of service were compared with each other.}, number={3}, publisher={İrfan TÜRKOĞLU}