MVE145 - Statistical quality control, 7,5hp - Sp2, 2007/2008

Welcome!

Product quality is fundamental for every company. Poor quality can
cause warranty costs and liability claims and in worst case and this
can in worst case jeopardize the future of the company. It is
therefore very important to secure the quality and maintain it at a
high level.

Product design is essential for the customer impression of product
quality. Reliability, serviceability and usability are fundamental
characteristics of high designed quality. Robust design assures that
the product can function in different environments, used by different
customers.

Even if the product is well designed the production process must be
able to deliver the designed products, at least within tolerances,
but preferable on target with minimum variance.

This course is about produced quality.

The main goal of the course is to understand variation and how to manage different types of variation.
Variation can come from chance causes, systematic causes or measurement errors. Data can be
univariate, multivariate, independent or dependent. Data can be discrete or continuous and can come
from many different distributions.

Some of the course content:

Variation models. Random and systematic causes.
Statistical process control and hypothesis
Statistical acceptance sampling and some standards (ISO 2859+ISO 3951)
Quality tools
The idea of Control charts
Shewhart control chart
CuSum & EWMA control charts
Control charts for autocorrelated data
Control charts for multivariate data
Process capability analysis
Measurement systems analysis

Course program

Schedule

Time 13.15-17	Place
30 October	MVH12
7 November	MVH12
14 November	MVH12
21 November	MVH12
22 November	MVH12	EXTRA lesson 13.15-15
28 November	No lesson
5 December	MVH12
12 December	MVH12
18 December	V	Written exam