STATISTICAL PROCESS CONTROL
cod. 1006602

Academic year 2024/25
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

Multivariate statistical analysis:
Principal component analysis
Discriminant analysis
Cluster analysis
MANOVA
Hotelling's T-square

Data processing and evaluation using different software

Full programme

Experimental design (full factorial designs, fractional designs, Plackett-Burmann design, experimental error evaluation, desirability functions). Simplex method
Quality-by-design

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
Matrices
Data scaling
PCA
Discriminant analysis
Cluster analysis
Manova
Hotelling t square

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).
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

Other information

Didactic material is available to the students until the end of June.

2030 agenda goals for sustainable development

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