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- Publisher Website: 10.1016/j.autcon.2021.103709
- Scopus: eid_2-s2.0-85105247136
- WOS: WOS:000655503300006
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Article: Multi-criteria decision analysis for tower crane layout planning in high-rise modular integrated construction
Title | Multi-criteria decision analysis for tower crane layout planning in high-rise modular integrated construction |
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Authors | |
Keywords | High-rise buildings Modular buildings Modular construction Multi-criteria decision analysis Sensitivity analysis Tower crane layout planning |
Issue Date | 2021 |
Citation | Automation in Construction, 2021, v. 127, article no. 103709 How to Cite? |
Abstract | Tower crane layout planning (TCLP) is critical to high-rise modular integrated construction (MiC) that involves multiple heavy-duty lifts. However, previous studies have rarely addressed TCLP in modular construction. This study thus develops a new decision-making framework for selecting an optimal tower crane layout for high-rise MiC. First, the feasibility and performance criteria considering MiC-specific features are established based on a critical literature review and expert interviews. Second, a two-step framework of TCLP is proposed with fuzzy-integrated techniques for feasibility assessment and performance analysis. Third, the framework is validated using a real-life MiC project. Results indicate that the framework is effective in balancing the safety and economic performance of a crane layout, and the performance is considerably sensitive to modularized floor plan and weightings of criteria. By proposing the new framework of TCLP with multi-criteria decision-making techniques, the paper should facilitate safe and efficient module installation in high-rise MiC. |
Persistent Identifier | http://hdl.handle.net/10722/320208 |
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 | Zhang, Z | - |
dc.contributor.author | Pan, W | - |
dc.date.accessioned | 2022-10-21T07:48:59Z | - |
dc.date.available | 2022-10-21T07:48:59Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Automation in Construction, 2021, v. 127, article no. 103709 | - |
dc.identifier.issn | 0926-5805 | - |
dc.identifier.uri | http://hdl.handle.net/10722/320208 | - |
dc.description.abstract | Tower crane layout planning (TCLP) is critical to high-rise modular integrated construction (MiC) that involves multiple heavy-duty lifts. However, previous studies have rarely addressed TCLP in modular construction. This study thus develops a new decision-making framework for selecting an optimal tower crane layout for high-rise MiC. First, the feasibility and performance criteria considering MiC-specific features are established based on a critical literature review and expert interviews. Second, a two-step framework of TCLP is proposed with fuzzy-integrated techniques for feasibility assessment and performance analysis. Third, the framework is validated using a real-life MiC project. Results indicate that the framework is effective in balancing the safety and economic performance of a crane layout, and the performance is considerably sensitive to modularized floor plan and weightings of criteria. By proposing the new framework of TCLP with multi-criteria decision-making techniques, the paper should facilitate safe and efficient module installation in high-rise MiC. | - |
dc.language | eng | - |
dc.relation.ispartof | Automation in Construction | - |
dc.subject | High-rise buildings | - |
dc.subject | Modular buildings | - |
dc.subject | Modular construction | - |
dc.subject | Multi-criteria decision analysis | - |
dc.subject | Sensitivity analysis | - |
dc.subject | Tower crane layout planning | - |
dc.title | Multi-criteria decision analysis for tower crane layout planning in high-rise modular integrated construction | - |
dc.type | Article | - |
dc.identifier.email | Zhang, Z: zzq007@connect.hku.hk | - |
dc.identifier.email | Pan, W: wpan@hku.hk | - |
dc.identifier.authority | Pan, W=rp01621 | - |
dc.identifier.doi | 10.1016/j.autcon.2021.103709 | - |
dc.identifier.scopus | eid_2-s2.0-85105247136 | - |
dc.identifier.hkuros | 340502 | - |
dc.identifier.volume | 127 | - |
dc.identifier.spage | article no. 103709 | - |
dc.identifier.epage | article no. 103709 | - |
dc.identifier.isi | WOS:000655503300006 | - |