Single-Course English 5 ECTS

Statistical Quality Control

Overall Course Objectives

To give the participants the necessary tools for the development of efficient statistical methods for the control of quality, in e.g. technical or environmental relations, and to give the participants a basic knowledge of standard methods for statistical control of production processes. It is of major concern that the participants learn to assess the efficiency of various methods under consideration in relation to the specific field of application.

Learning Objectives

  • 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.

Course Content

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.

Recommended prerequisites

02402, or a similar course in elementary statistics

Teaching Method

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.

See course in the course database.





13 weeks




DTU Lyngby Campus

Course code 02413
Course type Bachelor
Semester start Week 35
Semester end Week 48
Days Thurs 13-17

7.500,00 DKK