DYNA JOURNAL ENGINEERING

Key words:

gestión de proyectos, construcción, contratación, sistemas de apoyo en la decisión, gestión del conocimiento, redes neuronales, project management, construction, procurement, decision support systems, knowledge management, neural networks.

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

VARIOUS

ABSTRACT
• This paper presents two cases of applying neural networks to extract knowledge for, subsequently, using it to support multicriteria contractor selection, in traditional design-bid-build projects with one-step selection processes. Different qualitative and quantitative selection criteria are taken into account, up to 22 and 9, respectively. The first case includes a high number of input variables, making up a complex system related to complex and medium or large-sized projects. The second case is related to small projects in a medium-sized municipality. One advantage of these systems is that they can serve to ‘homogenize’ specific decision making in medium and large organizations. The paper also analyzes other pros of this approach, as well as the main problems.

KEYWORDS
project management, construction, procurement, decision support systems, knowledge management, neural networks.