Composição de pacotes de sobressalentes críticos em operações militares

Abstract

The growing complexity of modern military systems requires more precise and data-driven logistical approaches capable of ensuring operational continuity in hostile and hard-to-reach environments. This study aimed to propose a methodology for selecting critical spare parts in military operations by integrating qualitative and quantitative decision-support tools. The research employed the FMECA methodology to identify and classify component criticality, complemented by the ABC classification, which ranked the items according to their impact on operational availability. In the quantitative stage, the Consumption Estimation Factor (F), associated with the Poisson distribution, was applied to determine the quantity of spare parts with reliability above 90%, considering a six-month lead time. The results showed that Class A components should form the core of the mission’s spare parts logistics package. It is concluded that the integration of FMECA, ABC classification, and the F Factor provides an effective tool for the logistical planning of military forces, enabling a balance between risk, cost, and availability in operations under supply constraints.