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Article: Lift planning and optimization in construction: A thirty-year review

TitleLift planning and optimization in construction: A thirty-year review
Authors
KeywordsLift planning and optimization
Construction planning
Modular construction
Productivity
Construction crane
Issue Date2020
PublisherElsevier 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?
AbstractVarious 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 Identifierhttp://hdl.handle.net/10722/294800
ISSN
2023 Impact Factor: 9.6
2023 SCImago Journal Rankings: 2.626
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Z-
dc.contributor.authorPan, W-
dc.date.accessioned2020-12-21T11:48:44Z-
dc.date.available2020-12-21T11:48:44Z-
dc.date.issued2020-
dc.identifier.citationAutomation in Construction, 2020, v. 118, p. article no. 103271-
dc.identifier.issn0926-5805-
dc.identifier.urihttp://hdl.handle.net/10722/294800-
dc.description.abstractVarious 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.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/autcon-
dc.relation.ispartofAutomation in Construction-
dc.subjectLift planning and optimization-
dc.subjectConstruction planning-
dc.subjectModular construction-
dc.subjectProductivity-
dc.subjectConstruction crane-
dc.titleLift planning and optimization in construction: A thirty-year review-
dc.typeArticle-
dc.identifier.emailPan, W: wpan@hku.hk-
dc.identifier.authorityPan, W=rp01621-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.autcon.2020.103271-
dc.identifier.scopuseid_2-s2.0-85085238526-
dc.identifier.hkuros320645-
dc.identifier.volume118-
dc.identifier.spagearticle no. 103271-
dc.identifier.epagearticle no. 103271-
dc.identifier.isiWOS:000572920300001-
dc.publisher.placeNetherlands-

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