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.
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