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

Tuli, Munish

[journal article]

dc.contributor.author	Tuli, Munish	de
dc.date.accessioned	2024-10-18T10:36:34Z
dc.date.available	2024-10-18T10:36:34Z
dc.date.issued	2023	de
dc.identifier.issn	2319-5177	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/97181
dc.description.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 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.	de
dc.language	en	de
dc.subject.ddc	Politikwissenschaft	de
dc.subject.ddc	Political science	en
dc.subject.other	Supply Chain Management	de
dc.title	AI and the Potential to Create Digital Twins to Transform Military Logistics	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.journal	CLAWS Journal
dc.source.volume	16	de
dc.publisher.country	MISC	de
dc.source.issue	2	de
dc.subject.classoz	Friedens- und Konfliktforschung, Sicherheitspolitik	de
dc.subject.classoz	Peace and Conflict Research, International Conflicts, Security Policy	en
dc.subject.thesoz	Militär	de
dc.subject.thesoz	military	en
dc.subject.thesoz	Logistik	de
dc.subject.thesoz	logistics	en
dc.subject.thesoz	Kriegsführung	de
dc.subject.thesoz	warfare	en
dc.subject.thesoz	künstliche Intelligenz	de
dc.subject.thesoz	artificial intelligence	en
dc.subject.thesoz	Indien	de
dc.subject.thesoz	India	en
dc.identifier.urn	urn:nbn:de:0168-ssoar-97181-1
dc.rights.licence	Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0	de
dc.rights.licence	Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0	en
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10036750
internal.identifier.thesoz	10038775
internal.identifier.thesoz	10050019
internal.identifier.thesoz	10043031
internal.identifier.thesoz	10042315
dc.type.stock	article	de
dc.type.document	Zeitschriftenartikel	de
dc.type.document	journal article	en
dc.source.pageinfo	141-157	de
internal.identifier.classoz	10507
internal.identifier.journal	2283
internal.identifier.document	32
internal.identifier.ddc	320
dc.description.pubstatus	Veröffentlichungsversion	de
dc.description.pubstatus	Published Version	en
internal.identifier.licence	20
internal.identifier.pubstatus	1
internal.identifier.review	1
dc.subject.classhort	20800	de
internal.pdf.valid	false
internal.pdf.wellformed	true
internal.pdf.encrypted	false

Files in this item

Name:: ssoar-claws-2023-2-tuli-AI_and ...
Size:: 650.6Kb
Format:: PDF
Description:: Main article

View/Open

This item appears in the following Collection(s)

Friedens- und Konfliktforschung, Sicherheitspolitik
Peace and Conflict Research, International Conflicts, Security Policy

Show simple item record