Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review

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dc.contributor.authorLiu, Q.
dc.contributor.authorMa, Y.
dc.contributor.authorChen, L.
dc.contributor.authorPedrycz, W.
dc.contributor.authorSkibniewski, M.J.
dc.contributor.authorChen, Z.-S.
dc.date.accessioned2024-05-19T14:33:22Z
dc.date.available2024-05-19T14:33:22Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractArtificial intelligence (AI) has garnered significant attention within the modular construction industry, emerging as a prominent frontier development trend. A comprehensive and systematic analysis is required to gain a thorough understanding of the existing literature on the use of AI in the management of production, operations, and logistics within the modular construction industry. This review delves into the various aspects of AI implementation in this sector, adopting a critical perspective. The objective of this paper is to analyze the progress, suitability, and research patterns in the field of AI for the management of productions, operations, and logistics within the modular construction industry. First, a concise overview of AI technologies pertaining to the contemporary research on the production, operations and logistics management of the modular construction industry is provided. Second, a bibliometric analysis is performed to provide a comprehensive overview of the existing publications pertaining to this subject matter. Subsequently, this paper presents literature reviews and outlines future directions for each component, specifically AI in the context of production management, operations management, and logistics management within the modular construction industry. The review provides a valuable knowledge base and roadmap to guide future research and development efforts in AI-enhanced modular construction management. © 2024 Elsevier B.V.en_US
dc.description.sponsorshipNational Social Science Fund of China, NSSFC: 22FGLB064; National Social Science Fund of China, NSSFC; National Natural Science Foundation of China, NSFC: 72202056, 72102171, 72171182; National Natural Science Foundation of China, NSFC; Ministry of Education of the People's Republic of China, MOE: 23YJCZH136; Ministry of Education of the People's Republic of China, MOE; Hubei Provincial Department of Education: 22Q072; Hubei Provincial Department of Educationen_US
dc.description.sponsorshipThis research was supported by research grant from the Humanities and Social Sciences Youth Foundation of the Ministry of Education of the People's Republic of China (Nos. 23YJCZH136), the Philosophy and Social Sciences Research Project of the Education Department of Hubei Province, China (22Q072), and the National Natural Science Foundation of China (Grant Nos. 72171182, 72102171, 72202056), and the Post Funded Project of the National Social Sciences Foundation of China (Grant No. 22FGLB064).en_US
dc.identifier.doi10.1016/j.inffus.2024.102423
dc.identifier.issn1566-2535
dc.identifier.scopus2-s2.0-85190762802en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1016/j.inffus.2024.102423
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4206
dc.identifier.volume109en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofInformation Fusionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectArtificial İntelligenceen_US
dc.subjectBibliometric Analysisen_US
dc.subjectLiterature Reviewen_US
dc.subjectLogistics Managementen_US
dc.subjectModular Construction İndustryen_US
dc.subjectOperations Managementen_US
dc.subjectProduction Managementen_US
dc.titleArtificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature reviewen_US
dc.typeArticleen_US

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