Statistical quality control.

lstat2310  2017-2018  Louvain-la-Neuve

Statistical quality control.
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