- Docente: Michele Scagliarini
- Credits: 5
- SSD: SECS-S/02
- Language: Italian
- Teaching Mode: In-person learning (entirely or partially)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in STATISTICS, ECONOMICS AND BUSINESS (cod. 8056)
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
Experiments with a single factor
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
Factorial Designs
Experiments with two fixed factors. Analysis of variance
and regression model. The complete randomized design.
The 2k factorial design
The 22 design, the 23 design, the
general 2k design. Response surface methods to process
optimization.
Factorial experiments with random factors
Readings/Bibliography
D.C. Montgomery "Design and analysis of experiments”. Fourth Edition John Wiley and Sons, New York 2001.
Teaching methods
Lectures
Assessment methods
The assessment aims to evaluate the achievement of the following learning objectives:
- the knowledge of the fundamental aspects of the design and analysis of experiments
- the ability to design factorial experiments for process development and improvement.
The exam is written and the evaluation is expressed as a grade of out of 30
Teaching tools
Lectures and exercises using PC
Links to further information
http://www.unibo.it/docenti/michele.scagliarini
Office hours
See the website of Michele Scagliarini