4 credits
15.0 h + 5.0 h
Q1
Teacher(s)
Govaerts Bernadette;
Language
French
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
Aims
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. |
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
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 and multivariate data
- Capability analysis
- Decomposition of sources of variability. Gauge analysis.
- Reception sampling
Other information
Prerequisites
Basic course in statistics
Reference :
D. C. Montgomery, Statistical Quality Control. New York: Wiley, second edition
Faculty or entity
LSBA
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Biomedical Engineering
Master [120] in Statistics: General
Master [120] in Mathematical Engineering
Master [120] in Statistics: Biostatistics
Minor in Statistics and data sciences
Additionnal module in Statistics and data science