Statistical process control

Acquire the methods and tools for applying Statistical Process Control (SPC). At the end of this course, students will be able to:
* present results synthetically using parameters and graphs
* process data, implement and interpret statistical tests to make decisions
* set up production monitoring tools.

Basic elements of probability calculus
Basics of inferential statistics (Estimation, Tests)

Part I
Comparison tests: means, variances and proportions
Analysis of variance: one-factor, two-factor ANOVA
Applications: prepackage control, sensory analysis,

Part II
Generalities of Statistical Process Control
6 sigma rule
Graphical representations (cause-and-effect diagrams, Pareto diagrams, .)
Machine and process capability
Control charts

Engineering Sciences and Techniques

Dagnelie P. [2007]. Theoretical and applied statistics. Tome 1. Descriptive statistics and foundations of statistical inference. De Boeck et Larcier.
Dagnelie P. [2006]. Theoretical and applied statistics. Tome 2. One- and two-dimensional statistical inference. De Boeck et Larcier.
Saporta G. [2006]. Probabilités, analyses des données et statistiques, Technip.
Dodge Y, [2006]. Premiers pas en statistiques, Springer.