Benchmarking of Construction Productivity
Benchmarking of Construction Productivity
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DOI：
10.1061/(asce)0733-9364(2005)131:7(772
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发表时间：
2005-07
期刊：
影响因子：
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通讯作者：
Hee-Sung Park;S. R. Thomas;R. L. Tucker
中科院分区：
文献类型：
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作者：
Hee-Sung Park;S. R. Thomas;R. L. Tucker
建筑生产率一直是建筑业和学术界非常关注的问题。尽管许多公司已经根据自己的经验和会计系统开发了自己的生产率跟踪系统，但没有一家公司成功地建立了通用的定义，并开发了一种调查工具，以收集适当水平的标准生产率数据。本研究旨在建立一套通用的建筑生产率度量标准及其相应的定义。作为这项研究工作的结果，开发了建筑生产力度量系统（CPMS），它包含直接和间接帐户的列表以及分为七个主要类别的56个数据元素。建筑生产率度量系统是一个标准的建筑生产率数据收集工具，并提供了一个框架来报告行业规范，以基准建筑生产率。在确定56个测量元素及其相应定义时，使用了73位行业专家的意见。从16个工业项目的初始样本中得出的初步结果表明，生产率指标可以产生，并且应该对建筑生产率基准有意义。由于样本量小，超过一般的初步结论是不合适的。根据分析，开发的CPMS被认为是一个合理的生产力数据收集工具，当有足够的数据可用时，应该能够产生合理的行业基准。
Construction productivity has been a cause of great concern in both the construction industry and academia. Even though many companies have developed their own productivity tracking systems based on their experiences and accounting systems, none have been successful in establishing common definitions and developing a survey tool that collects standard productivity data at the appropriate levels. This research was initiated to establish a common set of construction productivity metrics and their corresponding definitions. As a result of this research effort, the Construction Productivity Metrics System (CPMS), which contain a list of direct and indirect accounts and 56 data elements grouped into seven major categories, was developed. The Construction Productivity Metrics System is a standard construction productivity data collection tool and provides a framework to report industry norms to benchmark construction productivity. Input from 73 industry experts was used in determining the 56 measuring elements and their corresponding definitions. Preliminary findings from initial sample of 16 industrial projects indicate that the productivity metrics can be produced and should be meaningful for construction productivity benchmarking. Because of the small sample size, more than general preliminary conclusion would be inappropriate. Based on the analyses, the developed CPMS is believed to be a reasonable productivity data collection tool and when sufficient data are available should be capable of producing reasonable industry benchmarks.