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- Publisher Website: 10.1016/j.autcon.2023.105010
- Scopus: eid_2-s2.0-85164720180
- WOS: WOS:001033966600001
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Article: Identification of Learning Effects in Modular Construction Manufacturing
Title | Identification of Learning Effects in Modular Construction Manufacturing |
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Authors | |
Keywords | Construction mock-up production Learning curve theory Learning effects Modular construction Modular construction manufacturing |
Issue Date | 4-Jul-2023 |
Publisher | Elsevier |
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 Identifier | http://hdl.handle.net/10722/338067 |
ISSN | 2023 Impact Factor: 9.6 2023 SCImago Journal Rankings: 2.626 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lu, Weisheng | - |
dc.contributor.author | Yang, Zhongze | - |
dc.contributor.author | Kong, Lingming | - |
dc.date.accessioned | 2024-03-11T10:25:59Z | - |
dc.date.available | 2024-03-11T10:25:59Z | - |
dc.date.issued | 2023-07-04 | - |
dc.identifier.citation | Automation in Construction, 2023, v. 154 | - |
dc.identifier.issn | 0926-5805 | - |
dc.identifier.uri | http://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.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Automation in Construction | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Construction mock-up production | - |
dc.subject | Learning curve theory | - |
dc.subject | Learning effects | - |
dc.subject | Modular construction | - |
dc.subject | Modular construction manufacturing | - |
dc.title | Identification of Learning Effects in Modular Construction Manufacturing | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.autcon.2023.105010 | - |
dc.identifier.scopus | eid_2-s2.0-85164720180 | - |
dc.identifier.volume | 154 | - |
dc.identifier.isi | WOS:001033966600001 | - |
dc.identifier.issnl | 0926-5805 | - |