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Statistical Process Control: Course Outline

Statistical process control (SPC) is a method of quality control which uses statistical methods.


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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