Abstract
The primary method of public sector project delivery in the United States (U.S.) has traditionally been design-bid-build delivery. The public sector has historically separated design and construction contracts. In the 1990s, the U.S. public sector began to experiment with design-build project delivery, which combines design and construction in one contract. In 1997, a decision support system was developed to provide a formal selection model for public sector design-build projects. The model supports public owners in determining which projects are appropriate for design-build delivery. This initial model was static in nature and was based on a regression analysis of 104 projects. The analysis resulted in a predictive model with five performance criteria: overall satisfaction; administrative burden; conformance to expectations; schedule variance; and budget variance. Since 1997, the number of design-build projects has increased dramatically and public sector design-build methods have evolved. The original model can be improved with new data and a new framework to provide for an adaptive model as the industry continues to evolve. This paper presents a formalized application and use of learning capabilities to supplement the original static model. This model adjusts parameters and functions using artificial intelligence as the main knowledge engine. This approach can be adapted to many applications of decision support in the design and construction industry.
Highlights
Introduction and motivationLos propietarios del sector público en los Estados Unidos (U.S.) históricamente se han restringido a la ejecución de proyectos diseño-licitación-construcción
This research advances the area of decision support systems in construction engineering and management by applying a learning model to a problem that was originally solved with a static model
The construction engineering and management discipline is very dynamic in nature, the large majority of the decision support systems are static
Summary
Los propietarios del sector público en los Estados Unidos (U.S.) históricamente se han restringido a la ejecución de proyectos diseño-licitación-construcción. A comienzo de la década de los 90, los propietarios del sector público comenzaron a experimentar con la ejecución de proyectos diseño-construcción (llave en mano), en la cual contrataban a una sola entidad, Public sector owners in the United States (U.S.) have historically been constrained to design-bid-build project delivery. El modelo apoya a los propietarios del sector público a determinar cuáles son los proyectos apropiados para la ejecución diseño-construcción, aumentando así sus probabilidades de éxito (Molenaar y Songer 1998). The model supports public owners in determining which projects are appropriate for design-build delivery thereby increasing their chance of success (Molenaar and Songer 1998). The resulting web-based decision support system is named the DesignBuild Selector (DBS) (Molenaar and Songer 2001) This original research analyzed 104 projects through a retrospective case study approach to derive a predictive model with five performance criteria: overall satisfaction; administrative burden; conformance to expectations; schedule variance; and budget variance. A través de esta presentación, se espera que el enfoque general pueda ser adaptado a muchas aplicaciones en el apoyo a la toma de decisiones estratégicas, en la industria del diseño y construcción
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