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Berg, R and Hinze, J (2005) Theft and Vandalism on Construction Sites. Journal of Construction Engineering and Management, 131(07), 826–33.
Castañeda, J A, Tucker, R L and Haas, C T (2005) Workers’ Skills and Receptiveness to Operate Under the Tier II Construction Management Strategy. Journal of Construction Engineering and Management, 131(07), 799–807.
Chua, D K and Shen, L J (2005) Key Constraints Analysis with Integrated Production Scheduler. Journal of Construction Engineering and Management, 131(07), 753–64.
Horman, M J and Thomas, H R (2005) Role of Inventory Buffers in Construction Labor Performance. Journal of Construction Engineering and Management, 131(07), 834–43.
Lee, S, Thomas, S R and Tucker, R L (2005) Web-Based Benchmarking System for the Construction Industry. Journal of Construction Engineering and Management, 131(07), 790–8.
Mitropoulos, P, Abdelhamid, T S and Howell, G A (2005) Systems Model of Construction Accident Causation. Journal of Construction Engineering and Management, 131(07), 816–25.
Park, H, Thomas, S R and Tucker, R L (2005) Benchmarking of Construction Productivity. Journal of Construction Engineering and Management, 131(07), 772–8.
- Type: Journal Article
- Keywords: Productivity; Bench marks; Construction management; Construction industry;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:7(772)
- Abstract:
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.
Thomas, H R, Riley, D R and Messner, J I (2005) Fundamental Principles of Site Material Management. Journal of Construction Engineering and Management, 131(07), 808–15.
Wilmot, C G and Mei, B (2005) Neural Network Modeling of Highway Construction Costs. Journal of Construction Engineering and Management, 131(07), 765–71.
Xu, T, Tiong, R L, Chew, D A and Smith, N J (2005) Development Model for Competitive Construction Industry in the People’s Republic of China. Journal of Construction Engineering and Management, 131(07), 844–53.
Zayed, T M and Halpin, D W (2005) Productivity and Cost Regression Models for Pile Construction. Journal of Construction Engineering and Management, 131(07), 779–89.