Ateneo - UPO

The course is constituted by two modules dedicated respectively to: 1) experimental design and optimization; 2) process control. The first module considers all the most relevant methods of scientific and industrial problem solving and optimization to face problems of process/product optimization, included mixture problems. The second module considers the most used methods for the modern process control, included the new multivariate control charts based on the use of Principal Components.

Slides and notes provided by the professor.

The course aims at preparing the future doctor in Chemical Sciences to face his professional future with a good availability of strategies of problem solving and optimization and to be able to work effectively in the field of process control. Communication skills: the students will be able to use a suitable chemical vocabulary in relation to the topics described in the course and to write report on the result obtained from the application of these techniques. He will develop the ability in making judgements and autonomously deepen the arguments treated in the course.

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Lectures, role playing, PowerPoint slides, practical PC exercitation.

During the course the students will participate to several PC exercitation and role playing simulation in order to learn how to manage the new methods presented during the lectures.
Students with physical disabilities, Learning Disabilities or Special Education Needs can request specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/servicesstudents-physical-or-learning-disabilities.
Students with disabilities, learning disabilities or special education needs, once they have contacted the University Staff, can refer to the tutor in charge of the course to define the examination modalities, concerning academic aspects.

Written exam constituted by 3 question for each module. Of the 6 questions one consists of a complete exercise regarding the analysis of a factorial design or the construction and comment of control charts from process data.

The course treats two main arguments. The former is related to how the experimental work can be made efficacious either in the scientific or industrial fields (for examples for the optimization of a process, a product, a drug, a formulation, an analytical method, etc.). These techniques are employed all over the world and permit to obtain the best results with the minimum experimental effort. In particular the following arguments are presented: analysis of the problem; statistical theory of experimental design; the most important experimental designs (full and fractional factorial design, central composite design, star design, Box-Behnken designs, Doehlert designs, mixture designs); the most useful optimization methods (grid search, simplex and augmented simplex, steepest ascent, contour plots, EVOP, genetic algorithm); the multicriteria decision making methods (constraints, desirability and utility functions). The second module deals on the analysis of industrial processes by means of control charts (Shewhart control charts, CUSUM charts, T2 Hotelling control charts), that permit to establish if the process is stable and to identify its defects in order to take the best interventions. In these module the most modern multivariate control charts based on the use of Principal Component Analysis are presented as well. Moreover process capability, the percentage of defective products, and other parameter which permit to compare the process with the customer tolerance are discussed.

Acquisire la capacità di utilizzare autonomamente le tecniche apprese