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Akinci, B, Fischer, M and Kunz, J (2002) Automated Generation of Work Spaces Required by Construction Activities. Journal of Construction Engineering and Management, 128(04), 306–15.

Akinci, B, Fischer, M, Kunz, J and Levitt, R (2002) Representing Work Spaces Generically in Construction Method Models. Journal of Construction Engineering and Management, 128(04), 296–305.

Bhurisith, I and Touran, A (2002) Case Study of Obsolescence and Equipment Productivity. Journal of Construction Engineering and Management, 128(04), 357–61.

Formoso, C T, Soibelman, L, De Cesare, C and Isatto, E L (2002) Material Waste in Building Industry: Main Causes and Prevention. Journal of Construction Engineering and Management, 128(04), 316–25.

Guo, S (2002) Identification and Resolution of Work Space Conflicts in Building Construction. Journal of Construction Engineering and Management, 128(04), 287–95.

Hanna, A S, Peterson, P and Lee, M (2002) Benchmarking Productivity Indicators for Electrical/Mechanical Projects. Journal of Construction Engineering and Management, 128(04), 331–7.

  • Type: Journal Article
  • Keywords: Productivity; Costs; Construction industry; Labor; construction industry; cost optimal control; electrical contracting; civil engineering; project management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2002)128:4(331)
  • Abstract:
    Labor-intensive industries such as the electrical and mechanical trades are considered high risk due to the high percentage of labor costs. Because of this high risk, it is important for contractors in these industries to closely track labor costs on projects and compare these costs to industry benchmarks. In this paper, benchmark indicators for these industries are established on the basis of actual project data. These benchmarks include the relationship between the percent complete or percent time and cumulative work hours or cost, project size and duration, project size and average man power, project size and peak man power, and average versus peak man power. These relationships were developed using regression analysis. Man power loading charts and the related S-curves were developed from actual project data. The man power loading charts and the related S-curves are useful for resource planning and for tracking progress on a construction project. They can be used to show the cause-and-effect relationship between projects impacted by outside factors and normal labor productivity.

Kashiwagi, D and Byfield, R (2002) State of Utah Performance Information Procurement System Tests. Journal of Construction Engineering and Management, 128(04), 338–47.

Nima, M A, Abdul-Kadir, M R, Jaafar, M S and Alghulami, R G (2002) Constructability Concepts in West Port Highway in Malaysia. Journal of Construction Engineering and Management, 128(04), 348–56.

Schexnayder, C J and David, S A (2002) Past and Future of Construction Equipment—Part IV. Journal of Construction Engineering and Management, 128(04), 279–86.

Shen, L Y, Li, H and Li, Q M (2002) Alternative Concession Model for Build Operate Transfer Contract Projects. Journal of Construction Engineering and Management, 128(04), 326–30.