TECHNICAL PAPERS
Jan 16, 2004

Predicting Performance of Design-Build and Design-Bid-Build Projects

Publication: Journal of Construction Engineering and Management
Volume 130, Issue 1

Abstract

Design-build (DB) and design-bid-build (DBB) are two principal project delivery systems used in many countries. This paper reports on models constructed to predict performance of DB and DBB projects on 11 areas, using project-specific data collected from 87 building projects. The study included collecting, checking, and validating industry data, and the statistical development of multivariate linear regression models for predicting project performance. Robust models are developed to predict construction and delivery speeds of DB and DBB projects. Gross floor area of the project is the most significant factor affecting speed. Besides this, for DBB projects, contractors’ design ability, and adequacy of plant and equipment would ensure speedy completion of the projects. For DB projects, if the contract period is allowed to vary during tender evaluation, this would slow down the project. Robust models to predict turnover and system quality of DB projects are also constructed. A DB contractor’s track record is an important variable. They must have completed past projects to acceptable quality and have ability in financial, health and safety management.

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References

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Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 130Issue 1February 2004
Pages: 75 - 83

History

Received: May 15, 2002
Accepted: Nov 7, 2002
Published online: Jan 16, 2004
Published in print: Feb 2004

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Authors

Affiliations

Florence Yean Yng Ling
Assistant Professor, Dept. of Building, National Univ. of Singapore, 4 Architecture Dr., Singapore 117566 (corresponding author).
Swee Lean Chan
Assistant Professor, Dept. of Building, National Univ. of Singapore, 4 Architecture Dr., Singapore 117566.
Edwin Chong
Research Assistant, Dept. of Building, National Univ. of Singapore, 4 Architecture Dr., Singapore 117566.
Lee Ping Ee
Research Assistant, Dept. of Building, National Univ. of Singapore, 4 Architecture Dr., Singapore 117566.

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