The exam is divided in three parts: 1) Analysis of variance and design of experiments; 2) quality through experimental design; 3)multi-attribute valuation methods
Lectur notes available on the teacher's web-site: 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.
In addition, for the multi-attribute valuation methods, lectur notes supplied by the teacher.
Learning Objectives
The aim othe teaching course is to learn how improve the quality of a product or a production process in a company, and how to evaluate the new product by a consumer's 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.
Particular attention is payed to the critical and constructive student's abilities
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); factor at fixed levels; experimental 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.