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Comprehensive Model for Construction Readiness Assessment

机译:施工准备评估综合模型

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摘要

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 multi-disciplinary 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.
机译:建筑业在过去十年中经历了快速增长,这与相应的生产力增长并不平行。这种停滞生产力的主要原因是项目团队经常急于建设,而不会充分评估施工准备。因此,众多项目在准备这样做之前开始施工,导致频繁中断,返工,术语工作,延迟和其他并发症,从而产生差的生产率和项目性能。尽管是一个世俗的挑战,但建设准备评估已获得研究人员的有限关注作为独立主题。本文通过确定从建筑 - 未准备(CNR)的施工准备(CR)来解决该研究差距。因此,本文提出了一个综合准备评估框架,包括228个二进制因子分为15个类别。使用从80个项目收集的数据,开发了一个数学模型,以重量每个因素,促进他们的比较和重要性的重要性。在CNR项目中区分CR的最高重量的因素包括与颁发的建设(IFC)的开发过程有关的工程因素,与形成多学科技能团队的项目团队因素以及与之相关的规划因素会计项目的保持点和切换。使用计算的权重,计算施工准备评分(CRS),表示项目的施工准备是百分比。此外,本文提供了与新项目CRS进行比较的数据驱动基准,以将其分类为CNR,边界或CR。使用来自10个项目的数据验证了准备评估模型的准确性和适用性,所有这些项目都使用开发的评估模型正确分类。本文提出的调查结果可以帮助从业者客观地评估建设准备,同时突出突发在动员前应解决的因素,从而提高整体生产力和项目绩效。

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  • 来源
    《Journal of Management in Engineering》 |2021年第1期|04020088.1-04020088.9|共9页
  • 作者单位

    Dept. of Civil Engineering California State Univ. Los Angeles E&T A-215 5151 State University Dr. Los Angeles CA 90032;

    Dept. of Civil and Environmental Engineering Univ. of Wisconsin-Madison 2352 Engineering Hall 1415 Engineering Dr. Madison WI 53706;

    Dept. of Industrial and Systems Engineering Univ. of Wisconsin-Madison 1513 University Ave. Madison WI 53706;

    Dept. of Civil and Environmental Engineering Univ. of Wisconsin-Madison 2320 Engineering Hall 1415 Engineering Dr. Madison WI 53706;

    Univ. of Wisconsin-Madison 21 North Park St. 7th Floor Madison WI 53715;

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