639-0925/03 – Design of Experiments (DOE)

Gurantor departmentDepartment of Quality ManagementCredits10
Subject guarantorprof. RNDr. Josef Tošenovský, CSc.Subject version guarantorprof. RNDr. Josef Tošenovský, CSc.
Study levelpostgraduate
Study languageCzech
Year of introduction2013/2014Year of cancellation
Intended for the facultiesHGF, FMTIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HAL37 Ing. Mgr. Petra Halfarová, 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
Combined 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

Další požadavky na studenta

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 Coded variables Effect of factor, dispersion estimate of effect factor,effect signifikance test Effect of factor graphic evaluation Graph interaction 2. Fractional faktoriál design at two levels Compozite design, finding of confounding patterns Generator selections 3. Significant points of design 4. Second order response surface models Model determinig conditions Test of curvature. Methods of determining second order response surface models.Composite design. Calculating the optimal level of significant factors Box-Behnken design (BBD).Design for factors at three levels 5. Blocking in experimental design 6. ANOVA in DOE.Decomposition of residuals dispersion Test Lack-of-fit.

Conditions for subject completion

Full-time form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history
Combined form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2019/2020 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2015/2016 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2014/2015 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2013/2014 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

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