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    Identification of Factors and Decision Analysis of the Level of Modularization in Building Construction

    Source: Journal of Architectural Engineering:;2018:;Volume ( 024 ):;issue: 002
    Author:
    Sharafi Pezhman;Rashidi Maria;Samali Bijan;Ronagh Hamid;Mortazavi Mina
    DOI: 10.1061/(ASCE)AE.1943-5568.0000313
    Publisher: American Society of Civil Engineers
    Abstract: In the majority of ordinary housing development projects, instead of using complex multicriteria decision-making systems, companies still rely on expert knowledge, checklists, or similar tools to decide on an appropriate level of modularization. Generally, in these types of projects the level of modularization is mainly driven by site constraints, such as accessibility and harsh weather conditions. Because of the lack of appropriate decision support tools, it is very hard for decision makers to include factors, such as lifecycle costs, quality, productivity, efficiency, and design complexity, into their decision, even if they are willing to do so. Simple decision support tools are required to provide practical assistance to the decision makers to adopt an appropriate level of modularization for such projects. This study, as a part of a broad ongoing research project on the optimum level of modularization in building construction, has compiled the expert knowledge for decision support that enables the decision makers to perform an easy initial feasibility study on the use of an appropriate level of modularization in their construction projects. First, a list of critical decision-making criteria is created. These criteria are obtained from an extensive literature review, qualitative survey questionnaires, and semistructured interviews with researchers and professionals in the construction industry as well as modular manufacturers. Then, using the results, a simple multicriteria decision analysis (MCDA) approach is developed as a practical decision support system to facilitate the decision-making process for selecting appropriate construction systems as well as determining the proper level of modularization for building construction projects. The validation of the study is demonstrated through a local actual case study.
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      Identification of Factors and Decision Analysis of the Level of Modularization in Building Construction

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    contributor authorSharafi Pezhman;Rashidi Maria;Samali Bijan;Ronagh Hamid;Mortazavi Mina
    date accessioned2019-02-26T07:31:50Z
    date available2019-02-26T07:31:50Z
    date issued2018
    identifier other%28ASCE%29AE.1943-5568.0000313.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4247636
    description abstractIn the majority of ordinary housing development projects, instead of using complex multicriteria decision-making systems, companies still rely on expert knowledge, checklists, or similar tools to decide on an appropriate level of modularization. Generally, in these types of projects the level of modularization is mainly driven by site constraints, such as accessibility and harsh weather conditions. Because of the lack of appropriate decision support tools, it is very hard for decision makers to include factors, such as lifecycle costs, quality, productivity, efficiency, and design complexity, into their decision, even if they are willing to do so. Simple decision support tools are required to provide practical assistance to the decision makers to adopt an appropriate level of modularization for such projects. This study, as a part of a broad ongoing research project on the optimum level of modularization in building construction, has compiled the expert knowledge for decision support that enables the decision makers to perform an easy initial feasibility study on the use of an appropriate level of modularization in their construction projects. First, a list of critical decision-making criteria is created. These criteria are obtained from an extensive literature review, qualitative survey questionnaires, and semistructured interviews with researchers and professionals in the construction industry as well as modular manufacturers. Then, using the results, a simple multicriteria decision analysis (MCDA) approach is developed as a practical decision support system to facilitate the decision-making process for selecting appropriate construction systems as well as determining the proper level of modularization for building construction projects. The validation of the study is demonstrated through a local actual case study.
    publisherAmerican Society of Civil Engineers
    titleIdentification of Factors and Decision Analysis of the Level of Modularization in Building Construction
    typeJournal Paper
    journal volume24
    journal issue2
    journal titleJournal of Architectural Engineering
    identifier doi10.1061/(ASCE)AE.1943-5568.0000313
    page4018010
    treeJournal of Architectural Engineering:;2018:;Volume ( 024 ):;issue: 002
    contenttypeFulltext
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