Statistical Process Control: Course Outline

• Introduction to statistical process control and its tools.
• Multivariate process monitoring through Hotelling T² charts.
• Chi-square chart.
• Generalized variance chart.
• 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.
• Introduction to statistical software’s for SPC.

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