Abstract
Construction productivity has been generating significant interest in both the construction industry itself and academia. Productivity management is currently recognized as a formal project management process in construction. However, most previous studies focused on defining factors that influence productivity and on measuring limited parts of activities at a micro level to investigate the relationship between factors and productivity. Construction productivity rates differ between projects because of the varying environments, characteristics, and project management efforts for each project. This study performed an extensive liter ature review on productivity in construction to support the rationale of a proposed conceptual productivity estimation model. The conceptual model is proposed for estimating productivity: expected productivity based on both project environment factors and management efforts. It also presents a comparison between project productivity expected, given the project environment and level of management efforts, and the raw (observed) productivity measure in the field.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Adrian, J. J. and Boyer, L. T. (1976). “Modeling method-productivity.”Journal of the Construction Division, ASCE, Vol. 102–1, pp. 157–168.
Borcherding, J. D. (1976). “Improving productivity in industrial construction.”Journal of the Construction Division, ASCE, Vol. 102–4, No. 623–638.
Borcherding, J. D. and Oglesby, C. H. (1974). “Construction productivity and job satisfaction.”Journal of the Construction Division, ASCE, Vol. 100–3, pp. 413–431.
Borcherding, J. D., Sebastian, S. J., and Samelson, N. M. (1980). “Improving motivation and productivity on large projects.”Journal of the Construction Division, ASCE, Vol. 106–1, pp. 73–89.
Business Roundtable (RBT) (1982a).Measuring Productivity in Construction. Report No. A-1, New York.
Business Roundtable (BRT) (1982b).Construction Labor Motivation. Report No. A-2, New York.
Business Roundtable (BRT) (1983).More Construction for the Money. Summary Report of the Construction Industry Cost Effectiveness Project, New York.
Business Roundtable (BRT) (1986).Scheduled Overtime Effect on Construction Projects. Report No. C-2, New York.
Construction Industry Institute (CII) (1986).Cost and Benefits of Materials Management Systems. Research Summary 7-1, Austin, TX.
Construction Industry Institute (CII) (1988).The Effects of Scheduled Overtime and Shift Schedule on Construction Craft Productivity. Source Document 43, Austin, TX.
Construction Industry Institute (CII) (1990a).Productivity Measurement. An Introduction. Research Summary 2–3, Austin, TX.
Construction Industry Institute (CII) (1990b).The Impact of Changes on Construction Cost and Schedule. Research Summary 6–10, Austin, TX.
Construction Industry Institute (CII) (2001).Engineering Productivity Measurement. Research Summary 156-1, Austin, TX.
El-Rayes, K. and Moselhi, O. (2001). “Impact of rainfall on the productivity of highway construction.”Journal of Construction Engineering and Management, ASCE, pp. 127-2, pp. 125–131.
Fox, A. J. (1978). “Productivity in the construction industry.”Journal of Professional Activities, ASCE, Vol. 104–1, pp. 49–52.
HIDDEN TEXT: A reference/bibliography section must be included at the end of your dissertation, even if you also use chapter end notes. Any standardized format for a reference or bibliography list is acceptable IF it is approved by your supervising professor and if you follow it consistently.
Halligan, D. W., Demsetz, L. A., Brown, J. D., and Pace, C. B. (1994). “Action-response model and loss of productivity in construction.”Journal of Construction Engineering and Management, ASCE, Vol. 120–4, pp. 47–63.
Hanna, A. S., Russell, J. S., Gotzion, T. W., and Nordheim, E. V. (1999a). “Impact of change orders on labor efficiency for electrical construction.”Journal of Construction Engineering and Management, ASCE, Vol. 125–3, pp. 176–184.
Hanna, A. S., Russell, J. S., Nordheim, E. V., and Bruggink, M. J. (1999b). “Impact of change orders on labor efficiency for electrical construction.”Journal of Construction Engineering and Management, ASCE, Vol. 125–4, pp. 224–232.
Hester, W. T., Kuprenas, J. A., and Chang, T. C. (1991). “Construction changes and change order: Their magnitude and impact.”Source Document 66, Construction Industry Institute (CII), The University of Texas at Austin.
Khan, M. S. (1993). “Methods of motivating for increased productivity.”Journal of Management in Engineering, ASCE, Vol. 9–2, pp. 148–156.
Koehn, E. and Brown, G. (1985). “Climate effects on construction.”Journal of Construction Engineering and Management, ASCE, Vol. 111–2, pp. 129–137.
Lemna, G. J., Borcherding, J. D., and Tucker, R. L. (1986). “Productive foremen industrial construction.”Journal of Construction Engineering and Management, ASCE, Vol. 122–2, pp. 192–210.
Liou, F. and Borcherding, J. D. (1986). “Work sampling can predict unit rate productivity.”Journal of Construction Engineering and Management, ASCE, Vol. 112–1, pp. 90–103.
Maloney, W. F. (1983). “Productivity improvement: The influence of labor.”Journal of Construction Engineering and Management. ASCE, Vol. 109–3, pp. 321–334.
Oglesby, C. H., Parker, H. W., and Howell, G. A. (1989).Productivity Improvement in Construction. McGraw Hill, New York.
Park, H. S. (2002).Development of Construction Productivity Metrics System (CPMS). Dissertation, Department of Civil Engineering, University of Texas, Austin, TX.
Park, H. S., Thomas, S. R., and Tucker, R. L. (2005). “Benchmarking of construction productivity.”Journal of Construction Engineering and Management, ASCE, Vol. 131–7, pp. 772–778.
Peltier, E. J. (1978). “Productivity in the construction industry management processes.”Journal of Professional Activities, ASCE, Vol. 104–1, pp. 53–56.
Proverbs, D. G., Holt, G. D., and Olomolaiye, P. O. (1999). “Construction resource/method factors influencing productivity for high rise concrete construction.”Construction Management and Economics, Vol. 17–5, pp. 577–587.
Rogge, D. F. and Tucker, R. L. (1982). “Foreman-delay surveys: Work sampling and output.”Journal of the Construction Division, ASCE, Vol. 108–4, pp. 592–604.
Sanders, S. R. and Thomas, H. R. (1991). “Factors affecting masonrylabor productivity.”Journal of Construction Engineering and Management, ASCE, Vol. 117–4, pp. 626–644.
Sanders, S. R. and Thomas, H. R. (1993). “Masonry productivity forecasting model.”Journal of Construction Engineering and Management, ASCE, Vol. 119–1, pp. 163–179.
Smith, S. D. (1999). “Earthmoving productivity estimating using linear regression techniques.”Journal of Construction Engineering and Management, ASCE, Vol. 125–3, pp. 133–141.
Sweis, G. J. (2000). “Impact of conversion technology on productivity in masonry construction.”Dissertation, Field of Civil Engineering, Northwestern University, Evanston, IL.
Thomas, H. R. (1990). “Effects of scheduled overtime on labor productivity: A literature review and analysis.”Source Document 60, Construction Industry Institute (CII), The University of Texas at Austin.
Thomas, H. R. (1991). “Labor productivity and work sampling: The bottom line.”Journal of Construction Engineering and Management, ASCE, Vol. 117–3, pp. 423–444.
Thomas, H. R. and Daily, J. (1983). “Crew performance measurement via activity sampling.”Journal of Construction Engineering and Management, ASCE, Vol. 109–3, pp. 309–320.
Thomas, H. R. and Guevara, J. M., and Gustenhoven, C. T. (1984). “Improving productivity estimates by work sampling.”Journal of Construction Engineering and Management, ASCE, Vol. 110–2, pp. 178–188.
Thomas, H. R. and Holland, M. P. (1980). “Work sampling programs: Comparative analysis.”Journal of the Construction Division, ASCE, Vol. 106–4, pp. 519–534.
Thomas, H. R., Mathews, C. T., and Ward, J. G. (1986). “Learning curve models of construction productivity.”Journal of Construction Engineering and Management, ASCE, Vol. 112–2, pp. 245–258.
Thomas, H. R., and Mathews, C. T. (1986). “An analysis of the methods for measuring construction productivity.”Source Document 13, Construction Industry Institute (CII), The University of Texas at Austin.
Thomas, H. R., and Napolitan, C. L. (1994). “The effects of changes on labor productivity: why and how much.”Source Document 99, Construction Industry Institute (CII), The University of Texas at Austin.
Thomas, H. R., and Raynar, K. A. (1994). “Effects of scheduled overtime on labor productivity: A quantitative analysis.”Source Document 98, Construction Industry Institute (CII), The University of Texas at Austin.
Thomas, H. R., Riley, D. R., and Sanvido, V. E. (1999). “Loss of labor productivity due to delivery methods and weather.”Journal of Construction Engineering and Management, ASCE, Vol. 125–1: pp. 39–46.
Thomas, H. R. and Sakarcan, A. S. (1994). “Forecasting labor productivity using factor model.”Journal of, Construction Engineering and Management, ASCE, Vol. 120–1, pp. 228–239.
Thomas, H. R., Sanvido, V. E., and Sanders, S. R. (1989). “Impact of material management on productivity-A case study.”Journal of Construction Engineering and Management, ASCE, Vol. 115–3, pp. 370–384.
Thomas, H. R. and Sanvido, V. E. (2000). “Role of the fabricator in labor productivity.”Journal of Construction Engineering and Management, ASCE, Vol. 126–5, pp. 358–365.
Thomas, H. R. and Yiakoumis, I. (1987). “Factor model of construction productivity.”Journal of Construction, Engineering and Management, ASCE, Vol. 113–4, pp. 623–638.
Thomas, H. R. and Završki, I. (1999). “Construction baseline productivity: Theory and practice.”Journal of Construction Engineering and Management, ASCE, Vol. 125–5, pp. 295–303.
Tucker, L. R. (1986). “Management of construction productivity.”Journal of Management in Engineering, ASCE, Vol. 2–3, pp. 148–156.
Tucker, L. R., Rogge, D. F., Hayes, W. R., and Hendrickson, F. P. (1982). “Implementation of foreman-delay surveys.”Journal of the Construction Division, ASCE, Vol. 108–4, pp. 577–591.
Weber, S. F. and Lippoatt, B. C. (1983). “Productivity measurement for the construction industry.”Technical Note 1172, National Bureau of Standards (NBS), Washing, DC.
Woo, S. K. (1999). “Monte carlo simulation of labor performance during overtime and its impact on project duration.”Dissertation, Department of Civil Engineering, University of Texas Austin, TX.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Park, HS. Conceptual framework of construction productivity estimation. KSCE J Civ Eng 10, 311–317 (2006). https://doi.org/10.1007/BF02830084
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02830084