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Quality Control and Management: Course Outline

The output of statistical process control methods effectively, avoiding misconceptions and identifying opportunities for process improvement.

Course Outline

  • Statistical quality control: measurement and control of quality.
  • Control charts for P, X, R, Sigma, C and U.
  • O.C. curves associated with control charts.
  • CUSUM Charts.
  • Leaf and Stem plots.
  • Box Plot.
  • Producer’s risk and consumer’s risk.
  • Acceptance sampling: single and double sampling plans. 
  • Introduction to multiple sampling plans.
  • Intentional quality standards and their certification.
  • Quality management through quality circles, re-engineering etc.
  • Case Study.
  • Computer simulation based experiments on techniques discussed in theory.

E-Books (Full Text)

E-Books (Full Text)