Abstract

The main goal in this research is to control the process parameter of CNC machine by using statistical process control tools such as multivariate control chart (i.e. Hotelling T2 control chart, MEWMA control chart, and MCUSUM control chart) for small manufacturing industry. This work is focused on the application of multivariate control chart for online process monitoring in the industrial process control, quality control of the product, and business. But when more than one quality characteristics come in one product or process then, univariate control chart becomes less efficient as the multivariate control chart is used instead of the univariate control chart. The result of this research was compared, application of the univariate control chart ( X ¯ https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9780429355998/62e2721a-099d-408e-981e-8955c4bb5132/content/eq294.tif"/> chart and R chart) and multivariate control chart (Hotelling T2 control chart, MEWMA control chart, and MCUSUM control chart) for online process monitoring. This study was essential to determine one of the best options of this control chart for the industrial process and for online monitoring the quality of the product.

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