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AI and the Potential to Create Digital Twins to Transform Military Logistics

[journal article]

Tuli, Munish

Abstract

Efficient and reliable military logistics are essential to the success of military operations. When effectively integrated into logistics planning and decision-making, Artificial Intelligence (AI) can simplify complex logistics operations. Digital twins are digital representations of physical object... view more

Efficient and reliable military logistics are essential to the success of military operations. When effectively integrated into logistics planning and decision-making, Artificial Intelligence (AI) can simplify complex logistics operations. Digital twins are digital representations of physical objects, systems, or processes. When powered by AI, digital twins have the potential to make military logistics smarter, more efficient, and cost-effective. It is proposed that all military equipment (embedded with sensors) and military depots in the Indian Army should have their AI digital twins created to facilitate predictive maintenance and AI-driven demand forecasting respectively. An attempt has been made to explore and validate the proposed concepts through two prototype machine-learning projects. The article further delves into the implementation aspects of AI digital twin-based predictive maintenance and demand forecasting followed by key recommendations for adoption in the Indian Army.... view less

Keywords
military; logistics; warfare; artificial intelligence; India

Classification
Peace and Conflict Research, International Conflicts, Security Policy

Free Keywords
Supply Chain Management

Document language
English

Publication Year
2023

Page/Pages
p. 141-157

Journal
CLAWS Journal, 16 (2023) 2

ISSN
2319-5177

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.