Publications / 2000 Proceedings of the 17th ISARC, Taipei, Taiwan

A Neural Networks Decision-Support System for Bidding in Construction

Mohammed Wanous, A. H. Boussabaine, J. Lewis
Pages 1-4 (2000 Proceedings of the 17th ISARC, Taipei, Taiwan, ISBN 9789570266986, ISSN 2413-5844)
Abstract:

One of the various strategic decisions that have to made by construction contractors is whether or not to submit a bid for a new project when an invitation has been received. An innovative neural network model is proposed in this paper to help contractors in making their bid/ no bid decisions. This model is based on one hundred and sixty two real bidding situations. The model was tested on another twenty real cases. 90% of the actual decisions of the testing sample were successfully predicted, which suggests that the model is very reliable and the ANN technique is suitable for modelling the bid/ no bid Decision.

Keywords: ANN, ANN Bidding Model, "Bid/ No bid" Criteria, Construction, Syria.