639-0925/07 – Design of Experiments (DOE)

Gurantor departmentDepartment of Quality ManagementCredits10
Subject guarantorprof. RNDr. Josef Tošenovský, CSc.Subject version guarantorprof. RNDr. Josef Tošenovský, CSc.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesHGF, FMTIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
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 Examination 20+0
Part-time Examination 20+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. Ability to solve elementary DOE problems, using Excel and Statgraphics software

Teaching methods

Individual consultations
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) are 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. STREET, D. J. a L. BURGESS. The Construction of Optimal Stated Choice Experiments: Theory and Methods. NY: Wiley, 2007. ISBN 978-0-470-05332-4.

Recommended literature:

JIJU, A. Design of Experiments for Engineers and Scientists. Oxford: Butterworth Heinemann, 2003. ISBN 978-00-80-46995-9. MYERS, R. H. a D. C. M. MONTGOMERY. Response Surface Methodology: Process and Product Optimization Using Designed Experiments. NY: Wiley, 2009. ISBN 0-471-41255-4.

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

1) Knowledge of DOE basic terms and methods: full factorial and fractional factorial plans, robust product design 2) Analysis of real problems and their optimal solution

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Full Factorial Design at Two Levels. 2. Fractional Factorial Design at Two Levels. 3. Quadratic Models. 4. Blocking. 5. ANOVA. 6. Three-level Plans. 7. Box - Behnken Plan. 8. Dynamic Design of Experiments. 9. Designing Robust Products and Processes. 10.Quality characteristics

Conditions for subject completion

Part-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

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Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (P0413D270001) Management of Industrial Systems P English Ostrava Choice-compulsory type B study plan
2020/2021 (P0413D270001) Management of Industrial Systems K English Ostrava Choice-compulsory type B study plan
2019/2020 (P0413D270001) Management of Industrial Systems P English Ostrava Choice-compulsory type B study plan
2019/2020 (P0413D270001) Management of Industrial Systems K English Ostrava Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner