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Benchmarking project performance: a guideline for assessing vulnerability of mechanical and electrical projects to productivity loss

机译:基准项目绩效:评估机电项目对生产力损失的脆弱性的指南

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摘要

Loss of productivity is a contentious issue that has a profound impact on modern construction, yet existing literature provides no quantitative, data-driven method to compare the productivity of different construction projects or to assess their vulnerability to productivity loss. A new mathematically derived metric, called the "Risk of Productivity Loss (RPL)" score, provides such a method. RPL is a function of multiple distinct productivity factors. The RPL score is developed from a dataset of 166 electrical and mechanical projects, which collectively amount to 7.2 million labour hours. This large sample size makes the RPL score a reliable productivity benchmark for the electrical and mechanical construction industries due to their labour-intensive nature. The higher the RPL score, the higher the risk that a given project will suffer from productivity losses. To supplement the mathematical formula presented, objective data-based weights for multiple key productivity factors have been identified, reducing the subjectivity that affects many of the existing weighting assessment methods. RPL provides the industry with a single metric that allows tracking and assessment of productivity for multiple projects at a time so that a contractor may assess the successful reduction of productivity risk factors within the projects in their company.
机译:生产力损失是一个有争议的问题,对现代建筑产生深远影响,但是现有文献没有提供定量的,数据驱动的方法来比较不同建设项目的生产力或评估其对生产力损失的脆弱性。一种称为“生产率损失风险(RPL)”评分的新的数学得出的度量提供了这种方法。 RPL是多个不同生产率因素的函数。 RPL分数来自166个电气和机械项目的数据集,总计720万工时。如此大的样本量使RPL得分高,因为它们的劳动密集型特性使其成为电气和机械建筑行业可靠的生产率基准。 RPL分数越高,给定项目遭受生产力损失的风险越高。为了补充提出的数学公式,已确定了多个关键生产率因素的基于客观数据的权重,从而减少了影响许多现有加权评估方法的主观性。 RPL为行业提供了一个单一的度量标准,该度量标准允许一次跟踪和评估多个项目的生产率,以便承包商可以评估其公司项目中生产率风险因素的成功降低。

著录项

  • 来源
    《Construction Management and Economics》 |2019年第3期|101-111|共11页
  • 作者单位

    Construction Engineering and Management, University of Wisconsin-Madison, Madison, Wl, USA;

    Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, Wl, USA;

    Department of Mathematics and Actuarial Science, American University in Cairo, New Cairo, Egypt,Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, Wl, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Productivity; quantitative analysis; risk management;

    机译:生产率;定量分析;风险管理;

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