A Predictive Model for Classifying Housing Estate Contractors According to the Rates of On-time Completion
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Abstract
The objectives of this research were to construct a predictive model for classifying housing estate contractors based on the rates of on-time completion. The participants were 90 contractors in 21 reinforced concrete housing estate projects in Bangkok and its environs. The contractors were divided into two groups – A and B. Group A comprised forty-five contractors who achieved a higher on-time completion rate than the set average, which was 85.96, and group B comprised forty-five contractors who achieved lower than the set average rate. Twenty-five contractors were randomly selected from each group to be used to develop the model while the rest of the contractors were used to validate the model. The findings revealed that out of the twenty-seven attributes of the contractors taken into consideration, only three were selected to construct the model, i.e. X20: sufficient scaffolding, X21: sufficient formwork, and X15: store officer in the project. The accuracy percentage of the prediction of the model was between 92.0% and 92.5%.
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