Statistical quality control.

Teacher(s)

Guillet Alain;

Language

French
> English-friendly

Prerequisites

Basics of probability and statistical inference

Main themes

- Statistical tools for quality insurance - Principles and classes of Shewhart control charts - CUSUM and EWMA control charts - Control charts for autocorrelated and multivariate data - Capability analysis - Decomposition of sources of variability. Gauge analysis. - Reception sampling

Learning outcomes

At the end of this learning unit, the student is able to :
1	At the end of this course, the students will have gain knowledge and a critical view of the statistical tools usefull in the setup of quality insurance policy, in process control and daily follow up of analytical devices. They will be able to apply these tools to industrial data sets.

Content

The themes discussed in this course are :

• Statistical tools for quality insurance
• Principles and classes of Shewhart control charts
• CUSUM and EWMA control charts
• Control charts for autocorrelated, multivariate and short run data
• Capability analysis
• Reception sampling

Teaching methods

Lectures (15h)

• Methods presentation on the basis of real-life situations.
• Formal but intuitive discussion of theoretical concepts and formulae for most methods.
• Interpretation of software outputs.
• Interactive lectures: students are encouraged to participate during the course.

 Computer labs (5h)

• Case studies on JMP, methodological exercises, and JMP Output interpretation. 

Evaluation methods

• Written exam
• Project with an oral exam

Other information

Prerequisite :

• First course in statistical inference ;
• Use of Word and Excel ;
• Ideally : knowledge of the software JMP.

Online resources

See the Moodle site: https://moodleucl.uclouvain.be/course/view.php?id=9935

Bibliography

 D. C. Montgomery, Statistical Quality Control. New York: Wiley.

Faculty or entity

> LSBA