639-0925/06 – Design of Experiments (DOE)

Gurantor departmentDepartment of Quality ManagementCredits10
Subject guarantorIng. Mgr. Petra Halfarová, Ph.D.Subject version guarantorIng. Mgr. Petra Halfarová, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFMT, HGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HAL37 Ing. Mgr. Petra Halfarová, Ph.D.
TOS012 Ing. Filip Tošenovský, Ph.D.
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

Oral Exam

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

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (P0413D270002) Management of Industrial Systems P Czech Ostrava Choice-compulsory type B study plan
2024/2025 (P0413D270002) Management of Industrial Systems K Czech Ostrava Choice-compulsory type B study plan
2023/2024 (P0413D270002) Management of Industrial Systems P Czech Ostrava Choice-compulsory type B study plan
2023/2024 (P0413D270002) Management of Industrial Systems K Czech Ostrava Choice-compulsory type B study plan
2022/2023 (P0413D270002) Management of Industrial Systems P Czech Ostrava Choice-compulsory type B study plan
2022/2023 (P0413D270002) Management of Industrial Systems K Czech Ostrava Choice-compulsory type B study plan
2021/2022 (P0413D270002) Management of Industrial Systems K Czech Ostrava Choice-compulsory type B study plan
2021/2022 (P0413D270002) Management of Industrial Systems P Czech Ostrava Choice-compulsory type B study plan
2020/2021 (P0413D270002) Management of Industrial Systems K Czech Ostrava Choice-compulsory type B study plan
2020/2021 (P0413D270002) Management of Industrial Systems P Czech Ostrava Choice-compulsory type B study plan
2019/2020 (P0413D270002) Management of Industrial Systems P Czech Ostrava Choice-compulsory type B study plan
2019/2020 (P0413D270002) Management of Industrial Systems K Czech Ostrava Choice-compulsory type B study plan

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