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    Decision-Making Framework for Selecting Sustainable Prefabricated Residential Building Technology Schemes under Minimum Assembly Rate Constraints

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 008::page 04025100-1
    Author:
    Shengbin Ma
    ,
    Zhongfu Li
    ,
    Yue Shen
    DOI: 10.1061/JCEMD4.COENG-16547
    Publisher: American Society of Civil Engineers
    Abstract: Prefabricated construction (PC) is a sustainable construction technology that is progressing worldwide. Nevertheless, there is a conflict between the policies’ high requirements for assembly rates and developers’ focus on maximizing project benefits, including cost, efficiency, and quality. Developers must address this conflict, under the constraint of a minimum assembly rate, through wise decisions regarding prefabricated residential buildings (PRB). Therefore, this study established a PRB technology scheme decision-making framework under the constraint of a minimum assembly rate from the perspective of the developers. First, the framework constructs a decision indicator system consisting of five primary indicators (construction cost, construction duration, structural performance, building performance, and constructability) and 15 secondary indicators and obtains the indicator weights using the combination ordered weighted average (C-OWA) operator. The quantitative and qualitative indicators of the individual construction techniques at the building element level are then quantified using the valuation mode of a bill of quantities (BOQ) and quality function deployment (QFD), respectively. The technique for order preference by similarity to ideal solution (TOPSIS) method was used to integrate the decision information and scheme ranking. Finally, as a case study, a PRB project in Qingdao, one of the first prefabricated building demonstration cities in China, was selected. Then, the YJK building software was used to develop 10 PRB technology schemes that meet the assembly rate requirements. These schemes were evaluated and selected using a decision-making framework. The results provided a ranking of the different technology schemes and determined the best scheme that can balance policy requirements and project benefits. In addition, the indicator performance of the building elements using different construction techniques was demonstrated. This framework provides effective decision-making tools and theoretical guidance for the adoption and optimization of prefabrication technologies in PRB, which contribute to the healthy and sustainable development of PRB.
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      Decision-Making Framework for Selecting Sustainable Prefabricated Residential Building Technology Schemes under Minimum Assembly Rate Constraints

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4307310
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    contributor authorShengbin Ma
    contributor authorZhongfu Li
    contributor authorYue Shen
    date accessioned2025-08-17T22:41:44Z
    date available2025-08-17T22:41:44Z
    date copyright8/1/2025 12:00:00 AM
    date issued2025
    identifier otherJCEMD4.COENG-16547.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4307310
    description abstractPrefabricated construction (PC) is a sustainable construction technology that is progressing worldwide. Nevertheless, there is a conflict between the policies’ high requirements for assembly rates and developers’ focus on maximizing project benefits, including cost, efficiency, and quality. Developers must address this conflict, under the constraint of a minimum assembly rate, through wise decisions regarding prefabricated residential buildings (PRB). Therefore, this study established a PRB technology scheme decision-making framework under the constraint of a minimum assembly rate from the perspective of the developers. First, the framework constructs a decision indicator system consisting of five primary indicators (construction cost, construction duration, structural performance, building performance, and constructability) and 15 secondary indicators and obtains the indicator weights using the combination ordered weighted average (C-OWA) operator. The quantitative and qualitative indicators of the individual construction techniques at the building element level are then quantified using the valuation mode of a bill of quantities (BOQ) and quality function deployment (QFD), respectively. The technique for order preference by similarity to ideal solution (TOPSIS) method was used to integrate the decision information and scheme ranking. Finally, as a case study, a PRB project in Qingdao, one of the first prefabricated building demonstration cities in China, was selected. Then, the YJK building software was used to develop 10 PRB technology schemes that meet the assembly rate requirements. These schemes were evaluated and selected using a decision-making framework. The results provided a ranking of the different technology schemes and determined the best scheme that can balance policy requirements and project benefits. In addition, the indicator performance of the building elements using different construction techniques was demonstrated. This framework provides effective decision-making tools and theoretical guidance for the adoption and optimization of prefabrication technologies in PRB, which contribute to the healthy and sustainable development of PRB.
    publisherAmerican Society of Civil Engineers
    titleDecision-Making Framework for Selecting Sustainable Prefabricated Residential Building Technology Schemes under Minimum Assembly Rate Constraints
    typeJournal Article
    journal volume151
    journal issue8
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-16547
    journal fristpage04025100-1
    journal lastpage04025100-19
    page19
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian