A neural network application to subcontractor rating in construction firms

A neural network application to subcontractor rating in construction firms

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Article ID: iaor19982185
Country: United Kingdom
Volume: 16
Issue: 1
Start Page Number: 9
End Page Number: 14
Publication Date: Feb 1998
Journal: International Journal of Project Management
Authors: ,
Keywords: neural networks, construction & architecture
Abstract:

In construction companies, subcontractor rating, due to its intrinsic ambiguity and difficult formalization, is a particularly complex task, usually accomplished by management experience and intuition. In this paper, a neural network is proposed to support management in subcontractor rating. Neural networks, being able to learn directly by examples the managers' logic, are suitable to support the solution of this type of problem. By an application case related to an assembly operation in a construction site, the neural network implementation and the related managerial and technical innovations are investigated.

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