639-0806/01 – Design of Experiments (DOE)
| Gurantor department | Department of Quality Management | Credits | 4 |
| Subject guarantor | prof. RNDr. Josef Tošenovský, CSc. | Subject version guarantor | prof. RNDr. Josef Tošenovský, CSc. |
| Study level | undergraduate or graduate | Requirement | Choice-compulsory |
| Year | 2 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2004/2005 | Year of cancellation | 2018/2019 |
| Intended for the faculties | FMT | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
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.
Teaching methods
Individual consultations
Summary
Compulsory literature:
1. Box,G.-Hunter,W.G.-Hunter,J.S.: Statistics for experiments.
John Wiley &Sons, NY 1978, 653s.
2. Montgomery, D.C.: Design and Analysis of Experiments. Wiley, NY, 2004.
Recommended literature:
1. Jiju, A,: Design of Experiments for Engineers and Scientis. Oxfortd.
Butterworth Heinemann. 2003. ISBN: 0-7506-4709-0
2. Box, G.E.P.: Statistics for Experimenters: Design, Innovation, and
Discovery, Second Edition. NY, Wiley, 2007. ISBN: 978-0-470-57091-3
3. Myers, R.H., Montgomery, D.C., Anderson-Cook, Ch.M.: Response Surface
Methodology: Process and Product Optimization Using Designed Experiments,
3rd Edition. NY, Wiley, 2009. ISBN: 978-0-470-17446-3.
4. Street, D.J., Burgess, L.: The Construction of Optimal Stated Choice
Experiments: Theory and Methods. NY, Wiley, 2007. ISBN: 978-0-470-05332-4.
Additional study materials
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
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. ANOVA - Experiments with a Single Factors
2. ANOVA - The Latin Square Design
3. Introduction to Factorial Design
4. The 2^k Factorial Design.
5. Two-Level Fractional Design
6. The One-Half Fraction of the 2^k Design
7. Blocking and Confounding in the 2^k Factorial Design
8. Blocking a Replicated in the 2^k Factorial Design
9. Response Surface Methods
10. Three-Level and Mixed Level Factorial Design
11. Robust Design
12. Box–Behnken design
13. Plots in DOE
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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