The exam is divided in three parts: 1) Analysis of variance and design of experiments; 2) quality through experimental design; 3)multi-attribute valuation mathods
Dispense del docente disponibili sul proprio sito-web: http://local.disia.unifi.it/berni/
Levi R., Lombardo A., Vicario G., 2006, progettazione e analisi degli esperimenti, McGraw-Hill libri capp.: 4-6-7-8.
Learning Objectives
The aim othe teaching course is to learn how improve the quality of a product or a production process in a firm and how to evaluate the new product by a consumer point of view.
Prerequisites
Statistical inference
Teaching Methods
Theoretical lessons and laboratories
Further information
Two locations:
PIN- Prato and
Dept. of Statistics, Informatics,Applications (Florence)
Type of Assessment
Oral examination.
More precisely, questions will cover all the specific topics of the course.
Course program
1-One-way and two-way analysis of Variance; introduction to the experimental design: trial, replication, randomization, source of variability, factor role (experimental factor and sub-experimental factor); random and fixed levels; planning.
2-Complete factorial design; interaction; fractional factorial design at two levels: resolution, confounding effects, alias pattern, building of the fractional factorials. Fractional factorial design and robust design, also considering the Taguchi’s philosophy. Response Surface Methodology of I order: an example.
3- Customer satisfaction and multi-attribute valuation methods: conjoint analysis.