Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/168847
Title: Digital twin and industry 4.0 enablers in building and construction: a survey
Authors: Hu, Wei
Lim, Kendrik Yan Hong
Cai, Yiyu
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: Hu, W., Lim, K. Y. H. & Cai, Y. (2022). Digital twin and industry 4.0 enablers in building and construction: a survey. Buildings, 12(11), 2004-. https://dx.doi.org/10.3390/buildings12112004
Journal: Buildings 
Abstract: With increasing interest in automatic and intelligent systems to enhance the building and construction industry, digital twins (DT) are gaining popularity as cost-effective solutions to meet stakeholder requirements. Comprising real-time multi-asset connectivity, simulation, and decision support functionalities, many recent studies have utilised Industry 4.0 technologies with DT systems to fulfil construction-specific applications. However, there is no comprehensive review to our knowledge, holistically examining the benefits of using DT as a platform from the angles of Industry 4.0 technologies, project management, and building lifecycle. To bridge this gap, a systematic literature review of 182 papers on DT-in-construction works over the past 6 years is conducted to address the three perspectives. In this review, a unified framework is first modelled to incorporate Industry 4.0 technologies within the DT structure. Next, a Six M methodology (comprising of Machine, Manpower, Material, Measurement, Milieu, and Method) based on Ishikawa’s Diagram with building lifecycle considerations is proposed to highlight the advantages of DT in ensuring successful construction projects. Lastly, through the identification of 11 future directions, this work aims to serve as a reference for both industry and academia towards the use of DT systems as a fundamental enabler to realise the Construction 4.0 paradigm.
URI: https://hdl.handle.net/10356/168847
ISSN: 2075-5309
DOI: 10.3390/buildings12112004
Schools: School of Mechanical and Aerospace Engineering 
Organisations: Advanced Remanufacturing and Technology Centre, A*STAR 
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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