Maximizing the Project Profitability by Genetic Algorithm
Ain Shams Journal of Civil Engineering • 2006
Publication Information
Authors
4. Metwally, Fikry
Keywords
construction, project profitability, resource allocation and leveling, genetic algorithms.
Journal
Ain Shams Journal of Civil Engineering
Publisher
Scientific Bulletin, Faculty of Engineering, Ain Shams University
Volume
Vol. 41
Issue
No. 1, 31March
Pages
247-262
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
Most contractors would agree that achieving maximum profitability in construction projects simply is no accident. One of the most vital aspects of achieving maximum profitability is the ability to achieve efficient use of resources and minimizing project duration. Therefore, a schedule that efficiently employs limited resources avoids daily fluctuation, and reduces project duration is eventually less costly. This paper presents a method that mimics increasing the project profitability by resource allocation, resource leveling and minimizing project duration. This method uses a genetic algorithm technique as an alternative to use the heuristic methods commonly employed in professional practice. The genetic algorithms techniques are developed by a computer program. The capabilities of the present program are demonstrated through an example application.
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