Statistical Quality Control

• Formulate an (the) adequate statistical control problem for a production or similar process.
• Use alternative statistical methods for solving the process control problem.
• Assess general advantages and disadvantages for alternative process control methods.
• Assess and compare alternative process control methods concretely (numerically).
• Use standardised methods (ISO) for statistical quality control of lots by sampling.
• Use sampling methods relating to attribute sampling as well as to sampling by variables.
• Assess advantages and disadvantages relating to the sampling strategy (single, double, sequential).
• Estimate and test quality measures in general by means off modern and relevant statistical tools.

Statistical procedures for acceptance sampling: Single, double and sequential sampling for discrete and continuous distributions. Application of international standards for acceptance sampling. Statistical process control by control-chart methods: Shewhart control-charts (X-R charts etc.), exponential smoothing (EWMA) and CUSUM-charts.

02402, or a similar course in elementary statistics

Lectures and exercises.

The course is aimed for students that attend or want to attend courses with relation to, for example, control of production, environmental surveillance and/or assurance.