639-0925/01 – 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 introduction1999/2000Year of cancellation2012/2013
Intended for the facultiesFMT, HGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
TOS40 prof. RNDr. Josef Tošenovský, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+0
Combined Credit and Examination 2+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

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Conditions for subject completion

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2012/2013 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2012/2013 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2011/2012 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2011/2012 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2010/2011 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2010/2011 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2010/2011 (P3925) Management of Industrial Systems P Czech Ostrava Optional study plan
2010/2011 (P3925) Management of Industrial Systems K Czech Ostrava Optional study plan
2009/2010 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2009/2010 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2009/2010 (P3925) Management of Industrial Systems P Czech Ostrava Optional study plan
2009/2010 (P3925) Management of Industrial Systems K Czech Ostrava Optional study plan
2008/2009 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2008/2009 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2008/2009 (P3925) Management of Industrial Systems P Czech Ostrava Optional study plan
2008/2009 (P3925) Management of Industrial Systems K Czech Ostrava Optional study plan
2007/2008 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti P Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku P Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů P Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti K Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku K Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů K Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti P Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku P Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů P Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti K Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku K Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner