TECHNICAL NOTES
May 1, 2009

Labor Performance Analysis for Microtunneling Projects

Publication: Journal of Construction Engineering and Management
Volume 135, Issue 5

Abstract

Microtunneling projects have special process characteristics. The production time of microtunneling projects is needed for project estimating and scheduling. The production time has three basic components: (1) preparation times for pipe segments; (2) preparation times; and (3) delay times. Real project data were collected from 35 projects to predict the time needed for pipe segment preparation. A probabilistic distribution technique was used to predict the preparation times for pipe segments. Various numbers of probabilistic distributions were tested against the data. A log-logistic distribution was selected to represent the preparation time’s probability for a pipe in microtunneling projects. Preparation times for high, medium, and low performance contractors were predicted. By enhancing the estimation process of the microtunneling projects, contractors can use this paper in predicting the preparation time for pipe segments, which represents the crew (or crew’s) productivity.

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References

Atalah, A., and Hadala, P. (1996). “Microtunneling database for the USA and Canada from 1984 to 1995.” Proc., Specialty Conf.: Pipeline Crossings 1996, 332–339.
Hegab, M. (2003). “Productivity modeling of microtunneling projects.” Ph.D. thesis, North Dakota State Univ., Fargo, N.D.
Hosmer, D., and Lemeshow, S. (1999). “Applied survival analysis: Regression modeling of time to event data.” Wiley series in probability and statistics, Wiley, New York.
Meeker, W., and Escobar, L. (1998). “Statistical methods for reliability.” Wiley series in probability and statistics, 2nd Ed., Wiley, New York.

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Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 135Issue 5May 2009
Pages: 432 - 435

History

Received: Nov 30, 2005
Accepted: Jan 24, 2008
Published online: May 1, 2009
Published in print: May 2009

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Authors

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Mohamed Hegab, M.ASCE [email protected]
P.E.
Associate Professor, Civil Engineering and Applied Mechanics Dept., California State Univ.-Northridge, 18111 Nordhoff St., Northridge, CA 91330-8347. E-mail: [email protected]
Gary R. Smith, M.ASCE [email protected]
P.E.
Dean, College of Engineering and Architecture, North Dakota State Univ., 203 Engineering Bldg., Fargo, ND 58105. E-mail: [email protected]

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