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

Authors :
Liu, Qiurui
Ma, Yanfang
Chen, Lin
Pedrycz, Witold
Skibniewski, Mirosław J.
Chen, Zhen-Song
Source :
Information Fusion. Sep2024, Vol. 109, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

• Examine existing literature on applying AI in the modular construction industry. • Exploring the production, operations and logistics (POL) management. • Analyze the progress and research patterns of AI for POL management. • Provide potential future directions for AI for POL management. Artificial 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15662535
Volume :
109
Database :
Academic Search Index
Journal :
Information Fusion
Publication Type :
Academic Journal
Accession number :
177317167
Full Text :
https://doi.org/10.1016/j.inffus.2024.102423