The interplay between artificial intelligence, production systems, and operations management resilience.
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| Title: | The interplay between artificial intelligence, production systems, and operations management resilience. |
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| Authors: | Fosso Wamba, Samuel1 (AUTHOR), Queiroz, Maciel M.2 (AUTHOR) maciel.queiroz@fgv.br, Ngai, Eric W. T.3 (AUTHOR), Riggins, Fred4 (AUTHOR), Bendavid, Ygal5 (AUTHOR) |
| Source: | International Journal of Production Research. Aug2024, Vol. 62 Issue 15, p5361-5366. 6p. |
| Subjects: | Artificial intelligence, Operations management, Electronic paper |
| Abstract: | This editorial introduces the special issue "The Interplay Between Artificial Intelligence, Production Systems, and Operations Management Resilience.' We selected twelve papers, encompassing many angles that illuminate the advances and challenges dealing with artificial intelligence tools and approaches in the production systems and operations management resilience domains. This editorial presents the papers with a smart view, highlighting the essentials of each article, such as full paper title, background, theory/literature scope, methodology design/analysis approach, and the main findings/contributions. Finally, the conclusions, future pathways, and research directions are presented. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: egs DbLabel: Engineering Source An: 178176812 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The interplay between artificial intelligence, production systems, and operations management resilience. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fosso+Wamba%2C+Samuel%22">Fosso Wamba, Samuel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Queiroz%2C+Maciel+M%2E%22">Queiroz, Maciel M.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> maciel.queiroz@fgv.br</i><br /><searchLink fieldCode="AR" term="%22Ngai%2C+Eric+W%2E+T%2E%22">Ngai, Eric W. T.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Riggins%2C+Fred%22">Riggins, Fred</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bendavid%2C+Ygal%22">Bendavid, Ygal</searchLink><relatesTo>5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Aug2024, Vol. 62 Issue 15, p5361-5366. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Operations+management%22">Operations management</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+paper%22">Electronic paper</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This editorial introduces the special issue "The Interplay Between Artificial Intelligence, Production Systems, and Operations Management Resilience.' We selected twelve papers, encompassing many angles that illuminate the advances and challenges dealing with artificial intelligence tools and approaches in the production systems and operations management resilience domains. This editorial presents the papers with a smart view, highlighting the essentials of each article, such as full paper title, background, theory/literature scope, methodology design/analysis approach, and the main findings/contributions. Finally, the conclusions, future pathways, and research directions are presented. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=178176812 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207543.2024.2321826 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 5361 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Operations management Type: general – SubjectFull: Electronic paper Type: general Titles: – TitleFull: The interplay between artificial intelligence, production systems, and operations management resilience. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fosso Wamba, Samuel – PersonEntity: Name: NameFull: Queiroz, Maciel M. – PersonEntity: Name: NameFull: Ngai, Eric W. T. – PersonEntity: Name: NameFull: Riggins, Fred – PersonEntity: Name: NameFull: Bendavid, Ygal IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 62 – Type: issue Value: 15 Titles: – TitleFull: International Journal of Production Research Type: main |
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