Optimization-based approach for organizing the bidding of nonserial repetitive projects
Construction Engineering Department
In practice, the number of contracts and the categories of contractors to be called for bidding on nonserial repetitive projects under one major program often are estimated on the basis of intuition and experience. It may involve emotional reactions to existing surrounding conditions. Accordingly, the factors that form the possible different scenarios should be properly analyzed and evaluated. This paper introduces an analytical model that allows for decisions on the number of contracts and projects per contractor for different contractor categories within major construction infrastructure programs. These optimum decisions are reached using an integrated time and cost objective. Genetic algorithm has been employed for performing optimization. A computer-based model has been developed and validated. © 2014 American Society of Civil Engineers.
Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress
Daniel Castro-Lacouture; Javier Irizarry; Baabak Ashuri
American Society of Civil Engineers
Atlanta, Georgia, USA
Bidding Analysis, Nonserial Repetitive Projects, Optimization, Time Cost Trade-Off
Ezeldin, A. S.
(2014).Optimization-based approach for organizing the bidding of nonserial repetitive projects. American Society of Civil Engineers. , 1468-1477
Ezeldin, Ahmed, et al.
Optimization-based approach for organizing the bidding of nonserial repetitive projects. American Society of Civil Engineers, 2014.pp. 1468-1477