Design-Build Selector (DBS): An automated tool for project selection

Keith R. Molenaar, Anthony D. Songer

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

This paper reports on an automated web-based selection tool developed to assist public sector owners in selecting projects that have the greatest potential for success using design-build. At the core of this tool are five linear regression models constructed from 108 retrospective case studies. These five models predict project success in terms of budget variance, schedule variance, conformance to expectations, administrative burden, and overall satisfaction. Project to project variation is normalized through a linear weighting model created via pairwise comparisons. The result is one overall score for success. Additionally, sensitivity analysis of the regression models filters and links advice that is used to improve the potential for success using design-build. The resultant predictive tool, the Design-Build Selector (DBS), was created using a World Wide Web platform for efficient dissemination, monitoring, and maintenance.

Original languageEnglish
Pages147-156
Number of pages10
StatePublished - 1998
EventProceedings of the 1998 International Computing Congress on Computing in Civil Engineering - Boston, MA, USA
Duration: 18 Oct 199821 Oct 1998

Conference

ConferenceProceedings of the 1998 International Computing Congress on Computing in Civil Engineering
CityBoston, MA, USA
Period18/10/9821/10/98

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