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- Publisher Website: 10.1016/j.autcon.2020.103271
- Scopus: eid_2-s2.0-85085238526
- WOS: WOS:000572920300001
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Article: Lift planning and optimization in construction: A thirty-year review
Title | Lift planning and optimization in construction: A thirty-year review |
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Authors | |
Keywords | Lift planning and optimization Construction planning Modular construction Productivity Construction crane |
Issue Date | 2020 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/autcon |
Citation | Automation in Construction, 2020, v. 118, p. article no. 103271 How to Cite? |
Abstract | Various lift planning and optimization (LPO) researches have been conducted; nevertheless, the body of knowledge is fragmented. This study aims to develop a systematic framework of LPO and predict its research trends, through a critical literature review, theoretical analysis, and model development. In total 108 journal papers from 1990 to 2019 are identified and analyzed based on the proposed taxonomy of LPO issues and methods. Results reveal an increasing trend of LPO for integrated issues using mixed methods. Owing to the evolving construction innovation like modular construction and thus the more challenging crane-lift problems, the use of innovative modeling methods (e.g. virtual reality simulation and intelligent algorithms) has increased. The complicated LPO issues should be integrated and addressed with appropriate modeling methods. The proposed framework contributes to systematic understanding on LPO and the suggested topics will drive future research to new heights in addressing the complexity and dynamics of LPO. |
Persistent Identifier | http://hdl.handle.net/10722/294800 |
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 | 2020-12-21T11:48:44Z | - |
dc.date.available | 2020-12-21T11:48:44Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Automation in Construction, 2020, v. 118, p. article no. 103271 | - |
dc.identifier.issn | 0926-5805 | - |
dc.identifier.uri | http://hdl.handle.net/10722/294800 | - |
dc.description.abstract | Various lift planning and optimization (LPO) researches have been conducted; nevertheless, the body of knowledge is fragmented. This study aims to develop a systematic framework of LPO and predict its research trends, through a critical literature review, theoretical analysis, and model development. In total 108 journal papers from 1990 to 2019 are identified and analyzed based on the proposed taxonomy of LPO issues and methods. Results reveal an increasing trend of LPO for integrated issues using mixed methods. Owing to the evolving construction innovation like modular construction and thus the more challenging crane-lift problems, the use of innovative modeling methods (e.g. virtual reality simulation and intelligent algorithms) has increased. The complicated LPO issues should be integrated and addressed with appropriate modeling methods. The proposed framework contributes to systematic understanding on LPO and the suggested topics will drive future research to new heights in addressing the complexity and dynamics of LPO. | - |
dc.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/autcon | - |
dc.relation.ispartof | Automation in Construction | - |
dc.subject | Lift planning and optimization | - |
dc.subject | Construction planning | - |
dc.subject | Modular construction | - |
dc.subject | Productivity | - |
dc.subject | Construction crane | - |
dc.title | Lift planning and optimization in construction: A thirty-year review | - |
dc.type | Article | - |
dc.identifier.email | Pan, W: wpan@hku.hk | - |
dc.identifier.authority | Pan, W=rp01621 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.autcon.2020.103271 | - |
dc.identifier.scopus | eid_2-s2.0-85085238526 | - |
dc.identifier.hkuros | 320645 | - |
dc.identifier.volume | 118 | - |
dc.identifier.spage | article no. 103271 | - |
dc.identifier.epage | article no. 103271 | - |
dc.identifier.isi | WOS:000572920300001 | - |
dc.publisher.place | Netherlands | - |