Aprendizado de máquina supervisionado como ferramenta de suporte à decisão na logística militar: Uma abordagem para a melhoria da eficiência logística
Year: 2026
Type: article
Abstract: This study investigates the application of supervised machine learning techniques as a decision-support tool in the logistics operations of the Brazilian Armed Forces. Based on a literature review, Artificial Neural Networks and ensemble learning methods are highlighted as promising approaches for handling complex time series, enhancing the accuracy of logistical forecasts. The study identifies relevant opportunities for the use of these techniques in the context of artificial intelligence applied to inventory management, maintenance planning, and supplier evaluation. Although challenges remain for the full adoption of AI in military logistics, several supervised learning applications with high potential were identified to improve military logistics efficiency, contributing to a more strategic, automated, and data-driven management approach.
Source: Coleção Meira Mattos
Institution: Universidade da Força Aérea
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7217648296