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Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Artificial Intelligence Revolution in Supply Chain Management
Subject
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Artificial Intelligence; Logistics; Robotics; Supply chain management
Description
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Artificial Intelligence (AI) is a buzzword everywhere in every domain, as it is an emerging technology in all business sectors. It is essential for achieving productivity, business benefits, less human efforts in the required business sectors instead of a large workforce and many more artificial intelligence applications that are scaling up with large scale business sectors. AI capacity to identify the trade patterns, the study's business occurrence, and analyze the information. AI is necessary for today's life and as well as for upcoming generations. Artificial intelligence helps to resolve the most complex problems and difficult situations where humans have not achieved so far, as it is the artificial brainpower of humans. We have seen technological changes happening faster and progressively by AI. The supply chain vastly gained from interest and investments in AI. The digital supply chain initiation, a shift in manufacturing is up and running. Advantageous supply chain management is essential in business sectors, customers, and governments. A combination of Artificial intelligence and supply chain management is put together in making decisions. This article will discuss the overview of AI advancements in supply chain management end-to-end processes. We also reviewed the supply chain operations using AI. 2023 American Institute of Physics Inc.. All rights reserved.
Creator
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Basha M.S.A.; Sucharitha M.M.; Reddy G.S.; Devi A.U.
Source
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AIP Conference Proceedings, Vol-2821, No. 1
Publisher
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American Institute of Physics Inc.
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1063/5.0158422" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0158422</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179830530&doi=10.1063%2F5.0158422&partnerID=40&md5=04f5d9984528a95f06f16d82d70c6c7e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179830530&doi=10.1063%2f5.0158422&partnerID=40&md5=04f5d9984528a95f06f16d82d70c6c7e</a>
Rights
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Restricted Access
Relation
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ISSN: 0094243X; ISBN: 978-073544735-6
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Basha M.S.A., GITAM School of Business, Gandhi Institute of Technology and Management (Deemedto be University), Karnataka, Bengaluru, 561203, India; Sucharitha M.M., Department of Professional Studies, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Reddy G.S., Department of MBA, Ashoka Women's Engineering college, Andhra Pradesh, Kurnool, India; Devi A.U., Department of Management Studies, SRM Valliammai Engineering College, Kanchipuram, Tamil Nadu, Kattankulathur, India