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Article: Developing a conceptual framework of smart work packaging for constraints management in prefabrication housing production

TitleDeveloping a conceptual framework of smart work packaging for constraints management in prefabrication housing production
Authors
KeywordsSmart work packaging (SWP)
Prefabrication housing production (PHP)
Constraints management
Building information modeling (BIM)
Issue Date2019
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/aei
Citation
Advanced Engineering Informatics, 2019, v. 42, p. article no. 100938 How to Cite?
AbstractConstraints management is the process of satisfying bottlenecks to facilitate tasks assigned to crews being successfully executed. However, managing constraints is inherently challenging in prefabrication housing production (PHP), due to the fragmentation of processes and information during project delivery. Enlightened by the broadly accepted work packaging method and the smart construction objects (SCOs) model, this study aims to define and implement smart work packaging (SWP) for constraints management in PHP. Firstly, the framework of SWP-enabled constraints management (SWP-CM) with three primary functions, including constraints modeling, constraints optimization, and constraints monitoring, is established. In addition, this study develops a layered abstract model as a prototype representation to elaborate on the implementation of SWP for practitioners. Finally, a laboratory-based test is applied to validate the framework. It can prove that SWP indeed opens new avenues for smart constraints management for PHP.
Persistent Identifierhttp://hdl.handle.net/10722/278253
ISSN
2017 Impact Factor: 3.358
2015 SCImago Journal Rankings: 1.265

 

DC FieldValueLanguage
dc.contributor.authorLi, X-
dc.contributor.authorShen, GQ-
dc.contributor.authorWu, P-
dc.contributor.authorXue, F-
dc.contributor.authorChi, HL-
dc.contributor.authorLi, CZ-
dc.date.accessioned2019-10-04T08:10:26Z-
dc.date.available2019-10-04T08:10:26Z-
dc.date.issued2019-
dc.identifier.citationAdvanced Engineering Informatics, 2019, v. 42, p. article no. 100938-
dc.identifier.issn1474-0346-
dc.identifier.urihttp://hdl.handle.net/10722/278253-
dc.description.abstractConstraints management is the process of satisfying bottlenecks to facilitate tasks assigned to crews being successfully executed. However, managing constraints is inherently challenging in prefabrication housing production (PHP), due to the fragmentation of processes and information during project delivery. Enlightened by the broadly accepted work packaging method and the smart construction objects (SCOs) model, this study aims to define and implement smart work packaging (SWP) for constraints management in PHP. Firstly, the framework of SWP-enabled constraints management (SWP-CM) with three primary functions, including constraints modeling, constraints optimization, and constraints monitoring, is established. In addition, this study develops a layered abstract model as a prototype representation to elaborate on the implementation of SWP for practitioners. Finally, a laboratory-based test is applied to validate the framework. It can prove that SWP indeed opens new avenues for smart constraints management for PHP.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/aei-
dc.relation.ispartofAdvanced Engineering Informatics-
dc.subjectSmart work packaging (SWP)-
dc.subjectPrefabrication housing production (PHP)-
dc.subjectConstraints management-
dc.subjectBuilding information modeling (BIM)-
dc.titleDeveloping a conceptual framework of smart work packaging for constraints management in prefabrication housing production-
dc.typeArticle-
dc.identifier.emailXue, F: xuef@hku.hk-
dc.identifier.authorityXue, F=rp02189-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.aei.2019.100938-
dc.identifier.scopuseid_2-s2.0-85067183953-
dc.identifier.hkuros306331-
dc.identifier.volume42-
dc.identifier.spagearticle no. 100938-
dc.identifier.epagearticle no. 100938-
dc.publisher.placeUnited Kingdom-

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