AN EXPONENTIAL-PARETO DISTRIBUTION APPROACH TO IMPROVING RAW MATERIAL QUALITY

Abstract

This research investigates the use of the exponential-pareto distribution to improve raw material quality in cement production. Experienced researchers researched on the distribution and came up with the generalised form of the distribution. The weight of the raw components, aluminium, calcium, gypsum, iron, and silicon, was collected from 2007 to 2017. Using exponential pareto, average run lengths (ARL), control limit intervals (CLI), and process capability (CP) were calculated, and control charts were created. The investigation found that the control charts were statistically controlled, indicating that the distribution is effective. It was suggested that an exponential-pareto chart be used to control the quality of raw materials used in cement manufacture.