AI-DRIVEN GREEN LOGISTICS IN THE MILITARY SECTOR

Corina Iancu, Elena Jianu, Maria Eliza Antoniu, Razvan Alexandru Hategan and Cosmina Nicoleta Petrescu
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Corina Iancu: UNIVERSITY OF CRAIOVA
Elena Jianu: POLITEHNICA BUCHAREST
Maria Eliza Antoniu: POLITEHNICA BUCHAREST
Razvan Alexandru Hategan: ECOLE DE GUERRE, PARIS
Cosmina Nicoleta Petrescu: UNIVERSITY OF CRAIOVA

Annals - Economy Series, 2026, vol. 2, 473-479

Abstract: Recent developments in sustainability policy and digital transformation have reshaped the operational environment of military logistics. European defense organizations increasingly rely on artificial intelligence to modernize logistics systems and reduce environmental impact while preserving operational effectiveness. This paper explores the contribution of AI-based logistics solutions to green military supply chains, focusing on efficiency gains, emission reduction, and improved decision-making processes. The findings indicate that the strategic deployment of artificial intelligence enhances logistical resilience and supports alignment with European sustainability objectives. Beyond operational optimization, the study highlights the broader strategic implications of integrating artificial intelligence within defense logistics systems. AI-driven predictive analytics, intelligent energy management, and datasupported governance mechanisms contribute not only to environmental performance improvement, but also to cost rationalization and enhanced institutional transparency. The research further examines the interaction between sustainability objectives and defense resilience, arguing that green logistics, supported by artificial intelligence, represents a structural component of contemporary European defense modernization. By embedding environmental considerations into core logistics processes, military institutions strengthen long-term strategic autonomy and adaptability in an increasingly volatile geopolitical environment.

Keywords: military logistics; artificial intelligence; sustainability; green logistics; ESG. (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cbu:jrnlec:y:2026:v:2:p:473-479

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