Application of Multivariate Process Control (MPC) in the Natural Rubber Industry

Abstract

Statistical process control (SPC) monitors specified quality characteristics of a product or service to detect whether the process has changed in a way that would affect product quality and to measure the current quality of products or services. This study introduces several applications on multivariate process control in the rubber industry employing the factory data in the Dartonfield estate of the Rubber Research Institute of Sri Lanka (RRI). Multivariate process control was applied to consider two or more variables simultaneously. In this study multivariate techniques were done for the application of bleaching agents, sodium bisulphate and acids in the process of crepe rubber production.