Application of statistical quality control in the rubber industry

Abstract

A quality control system perform inspection, testing and analysis to ensure that the quality of the product produced is as per the laid down quality standards and it is called “statistical quality control” when statistical techniques are applied, to control, improve and maintain quality or to solve quality problems. In executing of an information system requires statistical thinking in outlier detection, precision experiments, acceptance sampling, and process control etc. that have an important part to play in the improvement of quality, enhancement of productivity, creation of consumer confidence and development of economy. With the advancement of ISO standards on quality systems it has been effective feature in any quality control system. This study suggests application of ISO recommendations in precision experiments and process control. In addition to the ISO recommendations additional graphical methods are suggested for better and convenient presentation in outlier detection and precision experiments. Shewhart control chart is the statistical devise used for the study of addition of bleaching agents and sodium bisulphate in the crepe rubber production. X-bar and R charts are plotted in controlling temperatures of 6 rooms of drying tower and X charts and moving range charts are plotted for univariate chemic?! applications. Multivariate process control is applied as an approach to consider two or more variables simultaneously. In this study application o f bleaching agents, sodium bisulphite and acid were evaluated simultaneously. Multivariate Shewhart control charts are applied to study chemical applications in the process of crepe rubber production.