TECHNICAL PAPERS
Apr 30, 2009

Time-Profit Trade-Off Analysis for Construction Projects

This article has a reply.
VIEW THE REPLY
This article has a reply.
VIEW THE REPLY
Publication: Journal of Construction Engineering and Management
Volume 135, Issue 8

Abstract

This paper presents a multiobjective optimization model that provides new and unique capabilities including generating and evaluating optimal/near-optimal construction resource utilization and scheduling plans that simultaneously minimize the time and maximize the profit of construction projects. The computations in the present model are organized in three major modules: (1) a scheduling module that develops practical schedules for construction projects; (2) a profit module that computes the project profit; and (3) a multiobjective module that searches for and identifies optimal/near optimal trade-offs between project time and profit. A large-scale construction project is analyzed to illustrate the use of the model and to demonstrate its capabilities in generating and visualizing optimal trade-offs between construction time and profit.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This material is based upon work supported by the Qatar National Research Fund under Award No. UNSPECIFIEDQNRF-NPRP26-6-7-2. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the Qatar National Research Fund.

References

Deb, K. (2001). Multi-objective optimization using evolutionary algorithm, Wiley, New York.
Deb, K., Agrawal, S., Pratap, A., and Meyarivan, T. (2001). “A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization.” KANGAL Rep. No. 200001, Genetic Algorithm Laboratory, Indian Institute of Technology, Kanpur, India.
Deb, K., Pratap, A., Agrawal, S., and Meyarivan, T. (2002). “A fast elitist multi-objective NSGA-II.” IEEE Trans. Evol. Comput., 6(2), 182–197.
Elazouni, A. M., and Metwally, F. G. (2005). “Finance-based scheduling:tool to maximize project profit using improved genetic algorithms.” J. Constr. Eng. Manage., 131(4), 400–412.
Elmaghraby, S. E. (1993). “Resource allocation via dynamic programming in activity networks.” Eur. J. Oper. Res., 64, 199–215.
Feng, C., Liu, L., and Burns, S. A. (1997). “Using genetic algorithms to solve construction time-cost trade-off problems.” J. Comput. Civ. Eng., 11(3), 184–189.
Goldgerg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning, Addison-Wesley, Reading, Mass.
Hendrickson, C., and Au, T. (1986). Project management for construction, Prentice-Hall, Englewood Cliffs, N.J.
Leu, S. S., and Yang, C. H. (1999). “GA-based multicriteria optimal model for construction scheduling.” J. Constr. Eng. Manage., 125(6), 420–427.
Moselhi, O. (1993). “Schedule compression using the direct stiffness method.” Can. J. Civ. Eng., 20, 65–72.
Zheng, D., Ng, T., and Kumaraswamy, M. (2004). “Applying a genetic algorithm-based multiobjective approach for time-cost optimization.” J. Constr. Eng. Manage., 130(2), 168–176.
Zitzler, E., and Thiele, L. (1999). “Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach.” IEEE Trans. Evol. Comput., 3(4), 257–271.

Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 135Issue 8August 2009
Pages: 718 - 725

History

Received: Dec 15, 2008
Accepted: Jan 22, 2009
Published online: Apr 30, 2009
Published in print: Aug 2009

Permissions

Request permissions for this article.

Authors

Affiliations

Ahmed Senouci, M.ASCE [email protected]
Associate Professor, Dept. of Civil Engineering, Univ. of Qatar, P.O. Box 2713, Doha, Qatar. E-mail: [email protected]
Khaled El-Rayes, M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana–Champaign, Urbana, IL 61801. E-mail: [email protected]

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.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share