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September 28, 2025AviationOpen Access

Optimizing aircraft maintenance tasks allocation using mixed integer linear programming

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The model demonstrates a 25% reduction in completion time during a 50-hour Cessna 172 maintenance check, improving efficiency.
Validation via MATLAB shows the model's potential to minimize aircraft maintenance downtime effectively while adhering to regulations.
A mathematical formulation accounted for skill levels and task constraints, driving optimal task allocation based on manpower expertise.
This approach offers a cost-effective solution for small operators, bridging gaps in existing maintenance literature through practical applications.

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Implication

Analysis reveals a 25% reduction in aircraft maintenance downtime using mixed-integer linear programming, highlighting manpower efficiency and regulatory compliance.

Cite This Study

Ali et al. (2025) studied this question.

synapsesocial.com/papers/68d9052541e1c178a14f53ed https://doi.org/10.3846/aviation.2025.24535

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Implication

Analysis reveals a 25% reduction in aircraft maintenance downtime using mixed-integer linear programming, highlighting manpower efficiency and regulatory compliance.

Optimizing aircraft maintenance tasks allocation using mixed integer linear programming

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Implication

Cite This Study

Optimizing aircraft maintenance tasks allocation using mixed integer linear programming

Key Points

Discussion

Implication

Cite This Study

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