Tag Archives: Nonlinear Regression

Models and Quality Control Charts for the Prediction of Compressive Cement Strength (Published)

This paper presents quality control charts techniques usually applied in quality control of compressive cement strength. Nonlinear regression model useful for the prediction of compressive cement strength at 28 days was proposed. Combining the prediction and quality control tools, a PI (Proportional Integral) controller useful for the regulation of 28 days compressive cement strength around a target (39 Mpa) was constructed. Results of the one-year prediction of quarterly compressive cement strength aligned with the values of the historical data obtained from a leading Cement Company in Nigeria for the years, 2011-2015.

Keywords: Cement, Compressive Strength, Nonlinear Regression, Prediction, Quality control