639-3006/04 – Design of Experiments (DOE)

Gurantor departmentDepartment of Quality ManagementCredits4
Subject guarantorprof. RNDr. Josef Tošenovský, CSc.Subject version guarantorprof. RNDr. Josef Tošenovský, CSc.
Study levelundergraduate or graduateRequirementChoice-compulsory
Year2Semesterwinter
Study languageCzech
Year of introduction2016/2017Year of cancellation
Intended for the facultiesFMTIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
HAL37 Ing. Mgr. Petra Halfarová, Ph.D.
TOS012 Ing. Filip Tošenovský, Ph.D.
TOS40 prof. RNDr. Josef Tošenovský, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+1
Part-time Credit and Examination 18+0

Subject aims expressed by acquired skills and competences

Knowledge of DOE basic terms and methods: full factorial and fractional factorial plans, robust product and process design, analysis of real problems and their optimal solution, application of one-way and two-way analysis of variance.

Teaching methods

Lectures
Tutorials
Project work

Summary

The subject Design of experiments (DOE) expands the subject matter of regression analysis. Basic strategies of data preparation for regression models are discussed, as are full and fractional factorial plans. The emphasis is placed on the balance between statistical requirements and economic efficiency of data sampling. Construction of experimental plans is accompanied by the methodology of finding key inputs to the modelled process and their optimal set-up. The one-way and two-way analysis of variance (ANOVA) is also part of the subject. The generalizing chapters on dynamic planning and robust technology design are included.

Compulsory literature:

BOX, G. E. P., W. G. HUNTER a J. S. HUNTER Statistics for Experimenters. NY: John Wiley & Sons, 1978. ISBN 0-471-09315-7. MONTGOMERY, D. C. Design and Analysis of Experiments. NY: Wiley, 2004. ISBN 978-0-470-12866-4.

Recommended literature:

JIJU, A. Design of Experiments for Engineers and Scientists. Oxford: Butterworth Heinemann, 2003. ISBN 978-00-80-46995-9.

Way of continuous check of knowledge in the course of semester

Tests during the semester Essay

E-learning

www of FMMI

Other requirements

Study of actual journal material.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Full Factorial Design at Two Levels Fractional Factorial Design at Two Levels Quadratic Models Blocking ANOVA Steepest Ascent Designing Robust Products and Proceses

Conditions for subject completion

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (N3923) Materials Engineering (3911T033) Material Recycling P Czech Ostrava 2 Choice-compulsory study plan
2019/2020 (N3923) Materials Engineering (3911T033) Material Recycling P Czech Ostrava 2 Choice-compulsory study plan
2018/2019 (N3923) Materials Engineering (3911T033) Material Recycling P Czech Ostrava 2 Choice-compulsory study plan
2017/2018 (N3923) Materials Engineering (3911T033) Material Recycling P Czech Ostrava 2 Choice-compulsory study plan
2016/2017 (N3923) Materials Engineering (3911T033) Material Recycling P Czech Ostrava 2 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner