Probabilistic Optimal-Cost Scheduling
Publication: Journal of Construction Engineering and Management
Volume 127, Issue 6
Abstract
During the planning and execution of construction projects, it often becomes necessary to shorten the duration of the project. A widely used technique for reducing the duration of a project is commonly referred to as least-cost scheduling. This procedure is based on deterministically arriving at the shortest project duration for the minimum cost possible. There is, however, one major problem with the typical application of this technique. It does not address the variability inherent in the duration and cost of the project activities. Thus, the resulting compressed schedule value cannot be applied with any stated level of statistical confidence. This paper presents a new procedure that addresses some of the major shortcomings of least-cost scheduling. It does so by accounting for the variability inherent in the duration and cost of the scheduled activities by simultaneously applying range estimating and probabilistic scheduling to the historical data. The resulting data set is then analyzed to provide a compressed schedule duration and cost estimate that have a higher overall confidence of being achieved.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Al-Tabtabai, H., and Alex, P. ( 1998). “Network compression using genetic algorithms.” Proc., 1998 Int. Computing Congr. on Computing in Civ. Engrg., ASCE, Reston, Va., 652–659.
2.
Isidore, L. J. ( 1999). “Integrated range estimating and probabilistic scheduling of construction projects.” PhD dissertation, Dept. of Civil Engineering, Texas A&M University, College Station, Tex.
3.
Moselhi, O. ( 1993). “Schedule compression using the direct stiffness method.” Can. J. Civ. Engrg., 20(1), 65–72.
4.
Stevens, J. D. ( 1990). Techniques for construction network scheduling, McGraw-Hill, New York.
5.
The Construction Industry Institute (CII). ( 1988). Concepts and methods of schedule compression, Construction Industry Institute, University of Texas at Austin, Austin, Tex.
6.
The Construction Industry Institute (CII). ( 1995). Schedule reduction, Construction Industry Institute, University of Texas at Austin, Austin, Tex.
7.
Wu, H.-H., and Li, R.-K. ( 1996). “Methodology for schedule compression.” Production Plng. and Control, 7(4), 407–417.
8.
Yau, C. ( 1990). “Project compression. A method for speeding up resource constrained projects which preserve the activity schedule.” Eur. J. Operational Res., 49(1), 140–152.
Information & Authors
Information
Published In
History
Received: May 22, 2000
Published online: Dec 1, 2001
Published in print: Dec 2001
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.