STATISTICAL PROCESS CONTROL
cod. 1006602

Academic year 2020/21
2° year of course - First semester
Professor
- Federica BIANCHI
Academic discipline
Chimica analitica (CHIM/01)
Field
Discipline chimiche
Type of training activity
Characterising
52 hours
of face-to-face activities
6 credits
hub: PARMA
course unit
in ITALIAN

Learning objectives

Knowledge and understanding: the students will acquire information about chemometrics and elaboration of data deriving from industrial processes by developing a critical thinking related to the managment of industrial processes.
Applying knowledge and understanding: the students will be able to solve problems related to their working activity.
Making judgements: the students will be able to evaluate the results obtained and to promote innovation.
Communication skills: the students will be able to support and expose their thinking.

Prerequisites

Knowledge of the concepts related to the course of basic Chemometrics

Course unit content

Process optimization

Statistical control process

Quality system and quality control

Principal component analysis

Discriminant analysis

MANOVA

Hotelling's T-square

Full programme

experimental error evaluation, desirability functions). Simplex method

Quality control: control charts
(Shewhart charts,Shewhart individuals control charts CUSUM charts, R-charts, D-charts, p-charts, np-charts, c-charts). Attention and warning limits. ARL.

Data evaluation.

Quality system and quality control
Multivariate analysis

Bibliography

R. Todeschini "Introduzione alla Chemiometria" Ed. EDISES

E. Belluco "Strumenti statistici per il controllo dei processi" Franco Angeli Ed.

George E. P. Box, William Gordon Hunter, J. Stuart Hunter"Statistics for experimenters: an introduction to design, data analysis, and model building" Wiley

Teaching methods

The course develops in 40 hours of frontal teching during the which the students are guided to the understanting of the concepts of chemometrics and statistical process control and in 12 hours of laboratory (computer elaboration of data). Face-to-face teaching will be carried out, but
distance teaching (in synchronous modality) via TEAMS is also forecasted. In this case, students must advise the teacher beforehand.
Lessons related to computer data elaboration have to be followed to be admitted to the final exam.

Assessment methods and criteria

Oral examination to verify:
the acquisition of basic and advanced concepts related to data elaboration for statistical control process

the ability to use the acquired knowledge to solve new problems as required to friutfully enter the professional life

If required by the COVID-19 emergency, oral examinations will be performed via TEAMS. The use of an identification document will be required. No books or notes are allowed during the exam.

Other information

Didactic material related to the following items: statistical control process, quality control and multivariate data analysis will be available via ELLY until March 1st 2021. As for "Process optimization" the students have to take notes since the theorical part will be discussed togheter with the exercises.