Quantitative Assessment for Piles Productivity Factors
Publication: Journal of Construction Engineering and Management
Volume 130, Issue 3
Abstract
The management process of any construction operation usually can be defined as a chain of decisions. A decision-maker can bid, plan, and organize the bored pile projects based on an accurate estimate of productivity. To estimate productivity efficiently, piling process qualitative and quantitative factors have to be considered. This paper focuses on assessing the effect of subjective factors on bored pile construction productivity. A productivity index (PI) model is developed to represent this subjective effect in refining productivity assessment using simulation and deterministic techniques. The analytic hierarchy process and fuzzy logic are used to develop the proposed PI model that relies on the actual performance of 10 main piling process subjective factors. Subjective data were collected from bored pile (drilled shaft) contractors considering these subjective factors. The developed PI model implementation to piling process resulted in PI=0.7. This value has been validated using simulation model outputs.
Get full access to this article
View all available purchase options and get full access to this article.
References
Dias, A., Jr., and Ioannou, F. G. (1995). “A desirability model for the development of privately-promoted infrastructure projects.” UMCEE Rep. No. 95-09, Civil and Environmental Engineering Dept., Univ. of Michigan, Ann Arbor, Mich.
Dias, A., Jr., and Ioannou, P. G.(1996). “Company and project evaluation model for privately promoted infrastructure projects.” J. Constr. Eng. Manage., 122(1), 71–82.
Ersoz, H. Y. (1995). “A new approach to productivity estimation: AHP and fuzzy set application.” MSc thesis, Construction Engineering and Management Division, School of Civil Engineering, Purdue Univ., West Lafayette, Ind.
Halpin, D. W., and Riggs, L. S. (1992). Planning and analysis of construction operations, Wiley, New York.
Lorterapong, P., and Moselhi, O.(1996). “Project-network analysis using fuzzy sets theory.” J. Constr. Eng. Manage., 122(4), 308–318.
Peurifoy, R. L., Ledbetter, W. L., and Schexnayder, C. J. (1996). Construction, planning, equipment, and methods, 5th Ed., McGraw-Hill, New York.
Saaty, T. L. (1980). The analytic hierarchy process, McGraw-Hill, New York.
Saito, M., and Sinha, C. K. (1989). “The development of optimal strategies for maintenance, rehabilitation, and replacement of highway bridges: Priority ranking method.” FHWA/IN/JHRP-89/12, Final Rep. Vol. 5.
Sayed, T., and Abdelwahab, W.(1998). “Comparison of fuzzy and neural classifiers for road accidents analysis.” J. Comput. Civ. Eng., 12(1), 42–47.
Zayed, T. M. (2001). “Assessment of productivity for concrete bored pile construction.” PhD thesis, School of Civil Engineering, Purdue Univ., West Lafayette, Ind.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 130 • Issue 3 • June 2004
Pages: 405 - 414
Copyright
Copyright © 2004 American Society of Civil Engineers.
History
Received: May 23, 2002
Accepted: May 6, 2003
Published online: May 14, 2004
Published in print: Jun 2004
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.