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    A Discrepancy Analysis of BIM-Based Quantity Take-Off for Building Interior Components

    Source: Journal of Management in Engineering:;2019:;Volume ( 035 ):;issue: 003
    Author:
    Seongah Kim; Sangyoon Chin; Soonwook Kwon
    DOI: 10.1061/(ASCE)ME.1943-5479.0000684
    Publisher: American Society of Civil Engineers
    Abstract: The more detailed building information modeling (BIM) is, the more accurate are the quantities that can be extracted in BIM-based quantity take-off. However, the time and cost typically allowed for modeling are insufficient to extract accurate quantities throughout a project’s life cycle. In addition, variations in quantity interfere with estimating accurate construction costs. Despite the recognition that extracted quantities can differ depending on the details of building interior components, the number and extent of discrepancies, or whether these would differ by material, is unknown. Therefore, this study identifies and analyzes the approximately 6–9% quantity discrepancy (QD) in quantities extracted from different building interior components, in order to improve the accuracy of cost estimation using BIM. The discrepancy was analyzed by comparing the extracted quantities via two different model types, specifically a compositely modeled object and an individually modeled object. These models were applied to four cases of interior work in residential units. Results indicate that the QD occurs non-sequentially and exceeds the loss rates for some interior materials. Furthermore, this study identifies the causative factors of the QD by common features observed in the particular materials and suggests modeling and measurement strategies for minimizing QD.
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      A Discrepancy Analysis of BIM-Based Quantity Take-Off for Building Interior Components

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    contributor authorSeongah Kim; Sangyoon Chin; Soonwook Kwon
    date accessioned2019-03-10T12:16:41Z
    date available2019-03-10T12:16:41Z
    date issued2019
    identifier other%28ASCE%29ME.1943-5479.0000684.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4255257
    description abstractThe more detailed building information modeling (BIM) is, the more accurate are the quantities that can be extracted in BIM-based quantity take-off. However, the time and cost typically allowed for modeling are insufficient to extract accurate quantities throughout a project’s life cycle. In addition, variations in quantity interfere with estimating accurate construction costs. Despite the recognition that extracted quantities can differ depending on the details of building interior components, the number and extent of discrepancies, or whether these would differ by material, is unknown. Therefore, this study identifies and analyzes the approximately 6–9% quantity discrepancy (QD) in quantities extracted from different building interior components, in order to improve the accuracy of cost estimation using BIM. The discrepancy was analyzed by comparing the extracted quantities via two different model types, specifically a compositely modeled object and an individually modeled object. These models were applied to four cases of interior work in residential units. Results indicate that the QD occurs non-sequentially and exceeds the loss rates for some interior materials. Furthermore, this study identifies the causative factors of the QD by common features observed in the particular materials and suggests modeling and measurement strategies for minimizing QD.
    publisherAmerican Society of Civil Engineers
    titleA Discrepancy Analysis of BIM-Based Quantity Take-Off for Building Interior Components
    typeJournal Paper
    journal volume35
    journal issue3
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000684
    page05019001
    treeJournal of Management in Engineering:;2019:;Volume ( 035 ):;issue: 003
    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