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Article: Automatic work package sizing for cost-effective modular construction

TitleAutomatic work package sizing for cost-effective modular construction
Authors
KeywordsCost management
Dynamic programming
Modular construction
Work package
Issue Date1-Jul-2023
PublisherElsevier
Citation
Automation in Construction, 2023, v. 154 How to Cite?
Abstract

The accurate determination of work package size is crucial for cost reduction and achieving efficient mass production in modular construction (MC) projects. However, effectively balancing sizing and cost poses a significant challenge due to the absence of a precise trade-off method. This paper describes an automatic work package sizing (AWPS) method in MC production to optimize work package sizing while minimizing costs. First, the multi-stakeholders-oriented MC production process is modeled to identify the tasks in MC production. Second, critical factors affecting the size of work packages are identified and analyzed. Then, a dynamic programming algorithm is developed to merge the tasks to work packages at a minimal cost. The AWPS method is validated in a case study, and the results show that the AWPS can effectively package production tasks while reducing costs by 1.28%–16.25% compared with traditional task-organizing methods.


Persistent Identifierhttp://hdl.handle.net/10722/338046
ISSN
2023 Impact Factor: 9.6
2023 SCImago Journal Rankings: 2.626
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, Zisheng-
dc.contributor.authorLi, Xiao-
dc.contributor.authorWu, Chengke-
dc.contributor.authorMa, Jun-
dc.contributor.authorYang, Zhile-
dc.contributor.authorGuo, Yuanjun -
dc.date.accessioned2024-03-11T10:25:50Z-
dc.date.available2024-03-11T10:25:50Z-
dc.date.issued2023-07-01-
dc.identifier.citationAutomation in Construction, 2023, v. 154-
dc.identifier.issn0926-5805-
dc.identifier.urihttp://hdl.handle.net/10722/338046-
dc.description.abstract<p>The accurate determination of work package size is crucial for cost reduction and achieving efficient mass production in <a href="https://www.sciencedirect.com/topics/engineering/modular-construction" title="Learn more about modular construction from ScienceDirect's AI-generated Topic Pages">modular construction</a> (MC) projects. However, effectively balancing sizing and cost poses a significant challenge due to the absence of a precise trade-off method. This paper describes an automatic work package sizing (AWPS) method in MC production to optimize work package sizing while minimizing costs. First, the multi-stakeholders-oriented MC production process is modeled to identify the tasks in MC production. Second, critical factors affecting the size of work packages are identified and analyzed. Then, a dynamic programming algorithm is developed to merge the tasks to work packages at a minimal cost. The AWPS method is validated in a case study, and the results show that the AWPS can effectively package production tasks while reducing costs by 1.28%–16.25% compared with traditional task-organizing methods.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofAutomation in Construction-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCost management-
dc.subjectDynamic programming-
dc.subjectModular construction-
dc.subjectWork package-
dc.titleAutomatic work package sizing for cost-effective modular construction-
dc.typeArticle-
dc.identifier.doi10.1016/j.autcon.2023.105003-
dc.identifier.scopuseid_2-s2.0-85163394901-
dc.identifier.volume154-
dc.identifier.isiWOS:001040170200001-
dc.identifier.issnl0926-5805-

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