639-3006/03 – Design of Experiments (DOE)

Gurantor department	Department of Quality Management	Credits	6
Subject guarantor	Ing. Mgr. Petra Halfarová, Ph.D.	Subject version guarantor	prof. RNDr. Josef Tošenovský, CSc.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	1	Semester	summer
		Study language	English
Year of introduction	2015/2016	Year of cancellation	2020/2021
Intended for the faculties	FMT	Intended for study types	Follow-up Master

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
HAL37	Ing. Mgr. Petra Halfarová, Ph.D.
TOS012	Ing. Filip Tošenovský, Ph.D.
TOS40	prof. RNDr. Josef Tošenovský, CSc.

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Credit and Examination	3+2
Part-time	Credit and Examination	18+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.

Teaching methods

Lectures
Tutorials
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) is 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.

Recommended literature:

JIJU, A. Design of Experiments for Engineers and Scientists. Oxford: Butterworth Heinemann, 2003. ISBN 978-00-80-46995-9.

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

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Full Factorial Design at Two Levels Fractional Factorial Design at Two Levels Quadratic Models Blocking ANOVA Steepest Ascent Designing Robust Products and Proceses

Conditions for subject completion

Full-time form (validity from: 2015/2016 Winter semester, validity until: 2020/2021 Summer semester)

Task name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Credit and Examination	Credit and Examination	100 (100)	51
Credit	Credit	40	20
Examination	Examination	60	31	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 year	Programme	Branch/spec.	Spec.	Zaměření	Form	Study language	Tut. centre	Year	W	S	Type of duty
2017/2018	(N3922) Economics and Management of Industrial Systems	(3902T062) Quality Management			P	English	Ostrava	1			Compulsory	study plan
2016/2017	(N3922) Economics and Management of Industrial Systems	(3902T062) Quality Management			P	English	Ostrava	1			Compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction

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