Supply Chain Optimization in Industry 5.0: An Experimental Investigation Using Al

This experimental study examines the use of AI-driven supply chain management solutions in the framework of Industry 5.0. An analysis of fictitious data that represented product inventory, supplier details, customer orders, and transportation details showed significant cost savings in transportation...

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Bibliographic Details
Published inBIO web of conferences Vol. 86; p. 1093
Main Authors Ivanovich Vatin, Nikolai, John, Vivek, Nangia, Richa, kumar, Manish, Prasanna, Y. Lakshmi
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2024
Subjects
Artificial intelligence
cost reduction
Customers
data analysis
industry 5.0
supply chain optimization
Supply chain sustainability
Supply chains
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ISSN2117-4458
2273-1709
2117-4458
DOI10.1051/bioconf/20248601093

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Summary:This experimental study examines the use of AI-driven supply chain management solutions in the framework of Industry 5.0. An analysis of fictitious data that represented product inventory, supplier details, customer orders, and transportation details showed significant cost savings in transportation logistics (10%), improvements in supplier cost efficiency (20%), and significant reductions in excess inventory (10%). In Industry 5.0, artificial intelligence (AI) emerges as a key technology that can promote effective, customer-focused, and sustainable supply chains.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:2117-4458
2273-1709
2117-4458
DOI:10.1051/bioconf/20248601093