TECHNICAL PAPERS
Mar 1, 1997

Continuous Assessment of Project Performance

Publication: Journal of Construction Engineering and Management
Volume 123, Issue 1

Abstract

Project managers for owners, designers, and contractors need real-time information to assist them in managing projects. This paper describes a process whereby owner, engineer, and construction contractor organizations can use continuous or time-dependent variables (e.g., owner expenditures, construction effort hours expended) to predict project outcomes from start of detailed design through construction completion. Continuous variable data were collected on 54 construction projects. S-curves were developed for two project outcome categories: (1) “successful” (meeting or exceeding budget and schedule expectations); and (2) “less-than-successful” (not meeting budget and/or schedule expectations of the owner). Statistical analysis was performed to identify those variables showing a statistically significant difference between the two project outcome categories. Variables exhibiting a significant difference between the S-curves for “successful” and “less-than-successful” projects can be used as predictors of project outcome. Results show that different variables were predictors of success at different points of time during the project life cycle. Practical applications of these results along with limitations and future research are described.

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References

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Aldrich, J. H., and Nelson, F. D. (1984). Linear probability, logit, and probit models. Sage, Beverly Hills, Calif.
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Arneson, J. R. (1994). “A framework to organize and classify predictive tools for construction project managers,” MS thesis, Univ. of Wisconsin–Madison, Madison, Wis.
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Lawrence, S. L. (1995). “Development of a predictive tool for continuous assessment of project performance,” MS thesis, Univ. of Wisconsin–Madison, Madison, Wis.
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Russell, J. S., and Jaselskis, E. J. (1996). “Continuous assessment of project performance.”Spec. Publ. 107-02, The Constr. Industry Inst., Univ. of Texas at Austin, Austin, Tex.
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Russell, J. S., Jaselskis, E. J., Lawrence, S. L., Tserng, H. P., and Prestine, M. T. (1996). “Development of a predictive tool for continuous assessment of project performance.”Res. Rep. 107-12, The Constr. Industry Inst., Univ. of Texas at Austin, Austin, Tex.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 123Issue 1March 1997
Pages: 64 - 71

History

Published online: Mar 1, 1997
Published in print: Mar 1997

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Authors

Affiliations

Jeffrey S. Russell, Member, ASCE,
Assoc. Prof., Dept. of Civ. and Envir. Engrg., Univ. of Wisconsin–Madison, Madison, WI 53706.
Edward J. Jaselskis, Associate Member, ASCE,
Assoc. Prof., Civ. and Constr. Engrg. Dept., Town Engrg. Build., Room 450, Iowa State Univ., Ames, IA 50011.
Samuel P. Lawrence
Proj. Mgr., J. H. Findorff and Sons Construction Co., Inc., 601 West Wilson, Madison, WI 53704; formerly, Grad. Res. Asst., Dept. of Civ. and Envir. Engrg., Univ. of Wisconsin–Madison, WI 53706.

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