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dc.contributor.authorAdeyemi, Oluseyi
dc.contributor.authorAyoade, Idowu A.
dc.contributor.authorAdeyemi, Esther Onoge
dc.contributor.authorOlanrele, Oladeji Oluniyi
dc.contributor.authorEweoya, Ibukun
dc.contributor.authorMatthew, Joel
dc.contributor.editorThomas, Professor Andrew
dc.contributor.editorMurphy, Dr Lyndon
dc.contributor.editorMorris, Dr Wyn
dc.contributor.editorDispenza, Dr Vincenzo
dc.contributor.editorJones, Dr David
dc.date.accessioned2023-11-30T12:30:04Z
dc.date.available2023-11-30T12:30:04Z
dc.date.issued2023-09-08
dc.identifier.citationAdeyemi , O , Ayoade , I A , Adeyemi , E O , Olanrele , O O , Eweoya , I & Matthew , J 2023 , Adoption of artificial intelligence in operations management . in P A Thomas , D L Murphy , D W Morris , D V Dispenza & D D Jones (eds) , Advances in Manufacturing Technology XXXVI : Proceedings of the 20th International Conference on Manufacturing Research, Incorporating the 37th National Conference on Manufacturing Research . 20 edn , vol. 44 , Advances in Transdisciplinary Engineering , IOS Press , Aberystwyth, UK , pp. 10-15 , 20th International Conference on Manufacturing Research (ICMR 2023) , Aberystwyth , United Kingdom , 6/09/23 . https://doi.org/10.3233/ATDE230892
dc.identifier.citationconference
dc.identifier.isbn978-1-64368-466-6
dc.identifier.isbn978-1-64368-467-3
dc.identifier.issn2352-751X
dc.identifier.urihttp://hdl.handle.net/2299/27238
dc.description© 2023 the Author(s). This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0)
dc.description.abstractThis is a review conducted in relation to the application of artificial intelligence in operations management particularly in the design aspects between the years 2010 – 2021. The purpose of this paper is to provide a survey of the usage of artificial intelligence methods in operations management aimed at presenting the themes, trends, direction of research and its practical impacts. Artificial Intelligence is playing a major role in the fourth industrial revolution, and a lot of evolution in various operations management and engineering scope. Artificial Intelligence techniques are widely used by operations managers to solve a whole range of intractable problems. This study provides a forum for rapid evaluation of the works describing the theoretical and practical application of artificial intelligence methods in operations management. The study reports some novel aspects of artificial intelligence used for real-world operations/engineering applications towards solving problems, increased productivity, reducing costs and improved customer satisfaction.en
dc.format.extent7
dc.format.extent636375
dc.language.isoeng
dc.publisherIOS Press
dc.relation.ispartofAdvances in Manufacturing Technology XXXVI
dc.relation.ispartofseriesAdvances in Transdisciplinary Engineering
dc.subjectArtificial Intelligence
dc.subjectOperations Management
dc.subjectReview
dc.subjectSurvey
dc.subjectDesign
dc.titleAdoption of artificial intelligence in operations managementen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.identifier.urlhttps://www.iospress.com/catalog/books/advances-in-manufacturing-technology-xxxvi
rioxxterms.versionofrecord10.3233/ATDE230892
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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