Optimization of Air Navigation Spare Parts Supply Chain

Ensuring spare parts availability in air navigation systems is essential for operational continuity in aviation infrastructure. However, existing supply chain models often fail to jointly consider procurement decisions, transportation mode selection, inventory strategies, and risk factors, particularly in high-reliability sectors such as aviation. This study addresses this gap by developing a Mixed Integer Linear Programming (MILP) framework that integrates these components into a unified decision-making model aimed at minimizing total operational costs while maintaining high service levels. The model is tested on a real-world case study derived from Hamad International Airport operations, focusing on four critical radar components across a five-week planning horizon. The results demonstrate that a dual sourcing strategy and prioritizing maritime transport led to a significant reduction in logistics costs while ensuring full demand fulfillment. Strategic use of safety stock and vendor diversification contributed to both cost efficiency and operational reliability. These findings underscore the value of integrating risk-aware logistics and multi-modal transport planning in spare parts supply chains for critical infrastructure systems.