Adoption of artificial intelligence in operations management

Oluseyi Adeyemi; Idowu A. Ayoade; Esther Onoge Adeyemi; Oladeji Oluniyi Olanrele; Ibukun Eweoya; Joel Matthew

doi:10.3233/ATDE230892

Adoption of artificial intelligence in operations management

Oluseyi Adeyemi, Idowu A. Ayoade, Esther Onoge Adeyemi, Oladeji Oluniyi Olanrele, Ibukun Eweoya, Joel Matthew

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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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.

Original language	English
Title of host publication	Advances in Manufacturing Technology XXXVI
Subtitle of host publication	Proceedings of the 20th International Conference on Manufacturing Research, Incorporating the 37th National Conference on Manufacturing Research
Editors	Professor Andrew Thomas, Dr Lyndon Murphy, Dr Wyn Morris, Dr Vincenzo Dispenza, Dr David Jones
Place of Publication	Aberystwyth, UK
Publisher	IOS Press
Chapter	2
Pages	10-15
Number of pages	7
Volume	44
Edition	20
ISBN (Electronic)	978-1-64368-467-3
ISBN (Print)	978-1-64368-466-6
DOIs	https://doi.org/10.3233/ATDE230892
Publication status	Published - 8 Sept 2023
Event	20th International Conference on Manufacturing Research (ICMR 2023): Incorporating the 37th National Conference on Manufacturing Research - Aberystwyth University, Wales, UK, Aberystwyth, United Kingdom Duration: 6 Sept 2023 → 8 Sept 2023 Conference number: 20 https://www.aber.ac.uk/en/abs/research/20thinternationalconferenceonmanufacturingresearchicmr2023/

Publication series

Name	Advances in Transdisciplinary Engineering
Publisher	IOS Press
ISSN (Print)	2352-751X
ISSN (Electronic)	2352-7528

Conference

Conference	20th International Conference on Manufacturing Research (ICMR 2023)
Abbreviated title	ICMR 2023
Country/Territory	United Kingdom
City	Aberystwyth
Period	6/09/23 → 8/09/23
Other	Initiated by the Consortium of UK University Manufacturing and Engineering (COMEH), ICMR has been the UK’s main manufacturing research conference for 36years and an international conference since 2003 – bringing researchers, academics and industrialists together to share their vision, knowledge and experience, and discuss emerging trends and new challenges.
Internet address	https://www.aber.ac.uk/en/abs/research/20thinternationalconferenceonmanufacturingresearchicmr2023/

Keywords

Artificial Intelligence
Operations Management
Review
Survey
Design

Access to Document

10.3233/ATDE230892Licence: CC BY-NC

Final_Version
© 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)
Final published version, 621 KBLicence: CC BY-NC

Cite this

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 ed., Vol. 44, pp. 10-15). (Advances in Transdisciplinary Engineering). IOS Press. https://doi.org/10.3233/ATDE230892

Adeyemi, Oluseyi ; Ayoade, Idowu A. ; Adeyemi, Esther Onoge et al. / Adoption of artificial intelligence in operations management. Advances in Manufacturing Technology XXXVI: Proceedings of the 20th International Conference on Manufacturing Research, Incorporating the 37th National Conference on Manufacturing Research. editor / Professor Andrew Thomas ; Dr Lyndon Murphy ; Dr Wyn Morris ; Dr Vincenzo Dispenza ; Dr David Jones. Vol. 44 20. ed. Aberystwyth, UK : IOS Press, 2023. pp. 10-15 (Advances in Transdisciplinary Engineering).

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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.",

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Adeyemi, O, Ayoade, IA, Adeyemi, EO, Olanrele, OO, Eweoya, I & Matthew, J 2023, Adoption of artificial intelligence in operations management. in PA Thomas, DL Murphy, DW Morris, DV Dispenza & DD 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

Adoption of artificial intelligence in operations management. / Adeyemi, Oluseyi; Ayoade, Idowu A.; Adeyemi, Esther Onoge et al.
Advances in Manufacturing Technology XXXVI: Proceedings of the 20th International Conference on Manufacturing Research, Incorporating the 37th National Conference on Manufacturing Research. ed. / Professor Andrew Thomas; Dr Lyndon Murphy; Dr Wyn Morris; Dr Vincenzo Dispenza; Dr David Jones. Vol. 44 20. ed. Aberystwyth, UK: IOS Press, 2023. p. 10-15 (Advances in Transdisciplinary Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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T1 - Adoption of artificial intelligence in operations management

AU - Adeyemi, Oluseyi

AU - Ayoade, Idowu A.

AU - Adeyemi, Esther Onoge

AU - Olanrele, Oladeji Oluniyi

AU - Eweoya, Ibukun

AU - Matthew, Joel

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AB - 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.

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T3 - Advances in Transdisciplinary Engineering

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A2 - Thomas, Professor Andrew

A2 - Murphy, Dr Lyndon

A2 - Morris, Dr Wyn

A2 - Dispenza, Dr Vincenzo

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PB - IOS Press

CY - Aberystwyth, UK

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Y2 - 6 September 2023 through 8 September 2023

ER -

Adeyemi O, Ayoade IA, Adeyemi EO, Olanrele OO, Eweoya I, Matthew J. Adoption of artificial intelligence in operations management. In Thomas PA, Murphy DL, Morris DW, Dispenza DV, Jones DD, editors, Advances in Manufacturing Technology XXXVI: Proceedings of the 20th International Conference on Manufacturing Research, Incorporating the 37th National Conference on Manufacturing Research. 20 ed. Vol. 44. Aberystwyth, UK: IOS Press. 2023. p. 10-15. (Advances in Transdisciplinary Engineering). doi: 10.3233/ATDE230892

Adoption of artificial intelligence in operations management

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