84616 - METODI STATISTICI DI CONTROLLO DELLA QUALITA'

Learning outcomes

At the end of the course the student knows the statistical methods for designing and realizing quality improvement activities. In particular, the student is able to design factorial experiments and propose appropriate solutions for process development and improvement.

Course contents

Quality improvement using the design of experiments: general framework

1 Experiments with a single factor (8 hours)
-The analysis of variance in the fixed effects model
-Statistical analysis and parameters estimation
-Model adequacy checking
-Regression model
-The random effects model (variance components)
-Statistical analysis and components estimation
-Randomized complete block design
-Exercises with R

2 Factorial Designs (4 hours)
-Experiments with two fixed factors
-Analysis of variance and regression model
-The complete randomized design
-Exercises with R

3 The 2^k factorial design (12 hours)
-The 2² design
-The 2³ design
-The general 2^k design.
-A single replicate of the 2^k design
-The addition of center points to the 2^k design
-Exercises with R

4 Random Effects Models (6 hours)
-Measurement system analysis
-Exercises with R

 

 

Readings/Bibliography

D.C. Montgomery (2005), "Progettazione e analisi degli esperimenti", McGraw-Hill.

D.C. Montgomery (2013) “Design and analysis of experiments”. Eighth Edition. John Wiley and Sons, Singapore

Lecture notes available on the course unit teaching material.

Teaching methods

Lectures and computer exercises with Excel and R

Assessment methods

The assessment aims to evaluate the achievement of the following learning objectives:

• the knowledge of the design of experiments methodology
• the ability to design factorial experiments in practical cases

The exam is written, and it contains 3 or 4 exercises to complete in two hours. During the exam it is not allowed to consult textbooks or notes.

The evaluation is expressed as a grade of out of 30

Teaching tools

Slides.

Links to further information

https://www.unibo.it/sitoweb/michele.scagliarini/

Office hours

See the website of Michele Scagliarini