Learning objectives
The course is characterized by 5 CFU of theory and 1 CFU of PC exercitations. The aim is to provide information about the methods commonly used for both the optimization and monitoring of industrial processes.
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 according to safety, economical and sustainability requirements; to elaborate scientific data also by using specific software.
Making judgements: the students will be able to evaluate the results obtained and to promote innovation. They will be able to collect and evaluate data deriving from industrial processes, being able to forecast and plan corrective actions if required. They will develop team working capabilities and will be able to obtain information from databases or literature data.
Communication skills: the students will be able to support and expose their thinking. They will be able to support their ideas by performing literature or database research by analyzing in a critical way the received information. Finally, they will be able to elaborate in a critical way the data obtained thus acquiring useful information for process monitoring
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
Process optimization (Experimental design, full factorial designs, fractional factorial designs, Plackett-Burmann designs, 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
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 (30 min duration) to verify:
the acquisition of basic and advanced concepts related to data acquisition for optimization or monitoring purposes;
the ability to collect, analyze, and evaluate data in order to make sound and effective decisions or develop solutions
the ability to use the acquired knowledge to solve new problems as required to friutfully enter the professional life
Results will be orally communicated and inserted in the ESSE3 system
In cases of failure to respond (3 questions), students will fail the exam
Other information
didactic material is available to the students
