Multi-Method Simulation: Improving Fighter Aircraft Fleet Management
- Gustavo Henrique Munhoz
- Thiago Augusto do Carmo
- Carlos Monteiro Barbosa Filho
- Claudio Antonio Federico
- Fernando Teixeira Mendes Abrahão
- Danilo Garcia Figueiredo Pinto
Aeronautics Institute of Technology - ITA, ²Institute of Advanced Studies - IEAv.
- Evento
- XXI SITRAER – Fortaleza, CE, Brasil, 2024
- Volume
- Anais do XXI Simpósio de Transporte Aéreo – SITRAER 2024 · ISBN 978-65-272-1008-5 · DOI 10.29327/xxi-sitraer-2024
- Páginas
- 427–434
- Editora
- Even3 Publicações
- Editores
- Francisco Heber Lacerda de Oliveira, Fabiano Rocha, Giovanna Miceli Ronzani Borille, Evandro José da Silva, Mauro Caetano
Abstract
This study examines the use of AnyLogic simulation software to improve fleet management for combat aircraft. The objective is to enhance operational availability and mission success rates by developing a model that assesses maintenance operations, resource allocation, and predicts operational failures. The model combines discrete-events with agent-based simulation modeling and utilizes comprehensive data on maintenance cycles, component failure rates, and resource availability. The findings indicate that increasing the number of aircraft in the fleet improves resource allocation efficiency and operational planning, leading to a higher likelihood of successfully completing flights. However, the study acknowledges limitations such as a restricted number of items and the exclusion of human resources in the model. Future improvements could involve incorporating human resource variables, expanding the number of components, and considering fleet displacement, support aircraft, and cargo constraints. These enhancements would optimize spare parts and resource management, improving overall efficiency. The study concludes that AnyLogic simulation is a powerful tool for tactical and operational decision-making in combat aircraft fleet management, and future research could explore its application to different aircraft types and operational scenarios.
Keywords: AnyLogic Simulation; Fleet Management; Aircraft Maintenance; Agent-Based Modeling; Operational Optimization