dc.contributor.author | Adeyemi, Oluseyi | |
dc.contributor.author | Ayoade, Idowu A. | |
dc.contributor.author | Adeyemi, Esther Onoge | |
dc.contributor.author | Olanrele, Oladeji Oluniyi | |
dc.contributor.author | Eweoya, Ibukun | |
dc.contributor.author | Matthew, Joel | |
dc.contributor.editor | Thomas, Professor Andrew | |
dc.contributor.editor | Murphy, Dr Lyndon | |
dc.contributor.editor | Morris, Dr Wyn | |
dc.contributor.editor | Dispenza, Dr Vincenzo | |
dc.contributor.editor | Jones, Dr David | |
dc.date.accessioned | 2023-11-30T12:30:04Z | |
dc.date.available | 2023-11-30T12:30:04Z | |
dc.date.issued | 2023-09-08 | |
dc.identifier.citation | Adeyemi , 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.citation | conference | |
dc.identifier.isbn | 978-1-64368-466-6 | |
dc.identifier.isbn | 978-1-64368-467-3 | |
dc.identifier.issn | 2352-751X | |
dc.identifier.uri | http://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.abstract | This 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.extent | 7 | |
dc.format.extent | 636375 | |
dc.language.iso | eng | |
dc.publisher | IOS Press | |
dc.relation.ispartof | Advances in Manufacturing Technology XXXVI | |
dc.relation.ispartofseries | Advances in Transdisciplinary Engineering | |
dc.subject | Artificial Intelligence | |
dc.subject | Operations Management | |
dc.subject | Review | |
dc.subject | Survey | |
dc.subject | Design | |
dc.title | Adoption of artificial intelligence in operations management | en |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Department of Engineering and Technology | |
dc.identifier.url | https://www.iospress.com/catalog/books/advances-in-manufacturing-technology-xxxvi | |
rioxxterms.versionofrecord | 10.3233/ATDE230892 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |