ASSESSMENT OF CONSTRUCTION MATERIALS WASTAGE USING ARTIFICIAL NEURAL NETWORK MODEL

Ehab E. El-kassas, Hossam H. Mohamed, Khaled K. Khawasik

Abstract


Material wastage represents an important element of the total cost of any construction project. The expected percentage of such wastage should be accurately identified to arrive at a more reliable cost estimating process. The objective of this research is to provide an Artificial Neural Network (ANN) model for material waste assessment. Such model can accurately help to identify the expected percentage of cement and steel reinforcement waste. The main factors affecting material wastage were clearly identified. The different sequences of the model development were also discussed. The validity of the proposed model was tested

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