Equipment Productivity Forecasting Model for Multi-storey Building Construction Through Regression Analysis

摘要

Construction productivity measurement is the analysis into the ratio of total output to the total input of the construction process. Inputs generally refer to labor equipment and materials costand output in terms of total value of the project. The aim of this study is to identify critical factors that affectsequipment productivity and to develop a mathematical model for equipment productivity forecasting of building construction and to do the validation of the model. Identification of factors is done by conducting literature survey and interview session with the site engineers, project engineers and contractors and are evaluated using relative importance index method. Based on the identified factors equipment productivity forecasting model is developed using Multivariate Linear Regression Technique(MLR). The model was developed using 50 sets of data collected from multi-storied residential projects in Trivandrum. It is found that MLR have the ability to forecast the productivity with good degree of accuracy of the coefficient of correlation(R) 73% for Equipment productivity model.