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Article: Identification of Learning Effects in Modular Construction Manufacturing

TitleIdentification of Learning Effects in Modular Construction Manufacturing
Authors
KeywordsConstruction mock-up production
Learning curve theory
Learning effects
Modular construction
Modular construction manufacturing
Issue Date4-Jul-2023
PublisherElsevier
Citation
Automation in Construction, 2023, v. 154 How to Cite?
Abstract

The effects of learning in real-life modular construction (MC) factories and their application for productivity improvement are not well understood, despite the shift from on-site construction to factory-based MC facilitated by automation and robotics. Informed by learning curve theory, this paper describes the learning effects of modular construction manufacturing (MCM) and their implications for MCM management. The Stanford-B model was identified as the best fit when comparing four learning curves in relation to a Hong Kong case study, revealing that the learning rate in modular construction manufacturing (MCM) fluctuates rather than following a linear pattern. These learning effects in MCM bridge the gap between the disorder of on-site construction and the structured production of manufactured goods. This research unveils the previously unexplored “black box” of learning effects in MCM, unlocking the potential offered by MC.


Persistent Identifierhttp://hdl.handle.net/10722/338067
ISSN
2023 Impact Factor: 9.6
2023 SCImago Journal Rankings: 2.626
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLu, Weisheng-
dc.contributor.authorYang, Zhongze-
dc.contributor.authorKong, Lingming-
dc.date.accessioned2024-03-11T10:25:59Z-
dc.date.available2024-03-11T10:25:59Z-
dc.date.issued2023-07-04-
dc.identifier.citationAutomation in Construction, 2023, v. 154-
dc.identifier.issn0926-5805-
dc.identifier.urihttp://hdl.handle.net/10722/338067-
dc.description.abstract<p>The effects of learning in real-life <a href="https://www-sciencedirect-com.eproxy.lib.hku.hk/topics/engineering/modular-construction" title="Learn more about modular construction from ScienceDirect's AI-generated Topic Pages">modular construction</a> (MC) factories and their application for productivity improvement are not well understood, despite the shift from on-site construction to factory-based MC facilitated by automation and robotics. Informed by learning curve theory, this paper describes the learning effects of modular construction manufacturing (MCM) and their implications for MCM management. The Stanford-B model was identified as the best fit when comparing four learning curves in relation to a Hong Kong case study, revealing that the learning rate in modular construction manufacturing (MCM) fluctuates rather than following a linear pattern. These learning effects in MCM bridge the gap between the disorder of on-site construction and the structured production of manufactured goods. This research unveils the previously unexplored “black box” of learning effects in MCM, unlocking the potential offered by MC.<br></p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofAutomation in Construction-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectConstruction mock-up production-
dc.subjectLearning curve theory-
dc.subjectLearning effects-
dc.subjectModular construction-
dc.subjectModular construction manufacturing-
dc.titleIdentification of Learning Effects in Modular Construction Manufacturing-
dc.typeArticle-
dc.identifier.doi10.1016/j.autcon.2023.105010-
dc.identifier.scopuseid_2-s2.0-85164720180-
dc.identifier.volume154-
dc.identifier.isiWOS:001033966600001-
dc.identifier.issnl0926-5805-

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