Optimization-based approach for organizing the bidding of nonserial repetitive projects

Optimization-based approach for organizing the bidding of nonserial repetitive projects

Department

Construction Engineering Department

Abstract

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.

Publication Date

1-1-2014

Document Type

Book Chapter

Book Title

Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress

Editors

Daniel Castro-Lacouture; Javier Irizarry; Baabak Ashuri

ISBN

SCOPUS_ID:84904606270

Publisher

American Society of Civil Engineers

City

Atlanta, Georgia, USA

First Page

1468

Last Page

1477

Keywords

Bidding Analysis, Nonserial Repetitive Projects, Optimization, Time Cost Trade-Off

Optimization-based approach for organizing the bidding of nonserial repetitive projects
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