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• Introduction to statistical process control and its tools
• Multivariate process monitoring through Hotelling T2 charts
• Chi-square chart, generalized variance chart
• Multivariate EWMA control charts
• Multivariate CUSUM charts
• Properties of Multivariate EWMA and CUSUM charts
• Robustness and nonparametric approaches for process monitoring.
• Some Bayesian structures for quality control, Covariates and process improvement
• Process capability study, Introduction of six sigma,
• Designed experiment and process monitoring,
• Acceptance sampling and acceptance sampling plans.
• Advancements in techniques for quality improvement and quality assurance,
• Taghuchi’s methods for quality control,
• Evolutionary operation and process improvement,
• Evolutionary operation and process improvement
• Introduction to statistical software’s for SPC