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    Comprehensive Model for Construction Readiness Assessment

    Source: Journal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 001::page 04020088
    Author:
    Michael W. Ibrahim
    ,
    Youssef Labib
    ,
    Dharmaraj Veeramani
    ,
    Awad S. Hanna
    ,
    Jeffrey Russell
    DOI: 10.1061/(ASCE)ME.1943-5479.0000832
    Publisher: ASCE
    Abstract: The construction industry has experienced rapid growth in the last decade, which was not paralleled by a corresponding growth in productivity. A major reason of this stagnant productivity is that project teams often rush into construction without adequately assessing construction readiness. As a result, numerous projects start construction before they are ready to do so, leading to frequent interruptions, rework, out-of-sequence work, delays, and other complications, resulting in poor productivity and project performance. Despite being an industrywide challenge, construction readiness assessment has received limited attention from researchers as a standalone topic. This paper addresses this research gap by determining what quantitatively differentiates a project as construction-ready (CR) from construction-not-ready (CNR). Thus, this paper presents a comprehensive readiness assessment framework comprising 228 binary factors divided into 15 categories. Using data collected from 80 projects, a mathematical model was developed to weight each factor, facilitating their comparison and the determination of their importance. The factors that had the highest weights in differentiating CR from CNR projects include engineering factors relating to the development process of issued-for-construction (IFC) drawings, project team factors relating to forming a multidisciplinary skilled team, and planning factors relating to accounting for project’s hold points and handoffs. Using the calculated weights, the construction readiness score (CRS) is computed, denoting a project’s construction readiness as a percentage. Furthermore, the paper provides data-driven benchmarks to be compared with a new project’s CRS to classify it as CNR, borderline, or CR. The accuracy and applicability of the readiness assessment model were validated using data from 10 additional projects, all of which were correctly classified using the developed assessment model. The findings presented in this paper can help practitioners objectively assess construction readiness while highlighting the factors that should be addressed prior to mobilization, thus improving overall productivity and project performance.
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      Comprehensive Model for Construction Readiness Assessment

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4269369
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    contributor authorMichael W. Ibrahim
    contributor authorYoussef Labib
    contributor authorDharmaraj Veeramani
    contributor authorAwad S. Hanna
    contributor authorJeffrey Russell
    date accessioned2022-01-30T22:39:47Z
    date available2022-01-30T22:39:47Z
    date issued1/1/2021
    identifier other(ASCE)ME.1943-5479.0000832.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269369
    description abstractThe construction industry has experienced rapid growth in the last decade, which was not paralleled by a corresponding growth in productivity. A major reason of this stagnant productivity is that project teams often rush into construction without adequately assessing construction readiness. As a result, numerous projects start construction before they are ready to do so, leading to frequent interruptions, rework, out-of-sequence work, delays, and other complications, resulting in poor productivity and project performance. Despite being an industrywide challenge, construction readiness assessment has received limited attention from researchers as a standalone topic. This paper addresses this research gap by determining what quantitatively differentiates a project as construction-ready (CR) from construction-not-ready (CNR). Thus, this paper presents a comprehensive readiness assessment framework comprising 228 binary factors divided into 15 categories. Using data collected from 80 projects, a mathematical model was developed to weight each factor, facilitating their comparison and the determination of their importance. The factors that had the highest weights in differentiating CR from CNR projects include engineering factors relating to the development process of issued-for-construction (IFC) drawings, project team factors relating to forming a multidisciplinary skilled team, and planning factors relating to accounting for project’s hold points and handoffs. Using the calculated weights, the construction readiness score (CRS) is computed, denoting a project’s construction readiness as a percentage. Furthermore, the paper provides data-driven benchmarks to be compared with a new project’s CRS to classify it as CNR, borderline, or CR. The accuracy and applicability of the readiness assessment model were validated using data from 10 additional projects, all of which were correctly classified using the developed assessment model. The findings presented in this paper can help practitioners objectively assess construction readiness while highlighting the factors that should be addressed prior to mobilization, thus improving overall productivity and project performance.
    publisherASCE
    titleComprehensive Model for Construction Readiness Assessment
    typeJournal Paper
    journal volume37
    journal issue1
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000832
    journal fristpage04020088
    journal lastpage04020088-9
    page9
    treeJournal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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