151-0034-10L  Engineering Tool: Introduction to Design of Experiments (DOE)

SemesterSpring Semester 2023
LecturersB. G. Rüttimann
Periodicityyearly recurring course
Language of instructionGerman
CommentThe Engineering Tools courses are for MAVT Bachelor’s degree students only.



Courses

NumberTitleHoursLecturers
151-0034-10 KIngenieur-Tool: Einführung in die statistische Versuchsplanung (DOE)
Blockkurs in der ersten Semesterwoche.
12s hrs
21.02.14:15-18:00IFW C 42 »
22.02.14:15-18:00IFW C 42 »
23.02.14:15-18:00PFA L 51 »
B. G. Rüttimann

Catalogue data

AbstractThe course introduces to linear and non-linear modelling of processes via "Design of Experiments". DOE is an actively generated regression analysis for fast and economic determination of input parameters to achieve an optimal output with a reduced number of experiments.
ObjectiveThe students gain insight into theory and practice of DOE. They learn the most important terms, DOE types, full and fractional-factorial modelling and what has to be respected during the factor selection and investigational procedure, everything enriched by a practical exercise. The course provides indispensable basic knowledge for target-oriented scientific experimentation.
Content1. Einführung
- T&E, OFAT, DOE, Vorteile von DOE
- Auffrischung Statistik und Multiple Regression
- Multiple Regression vs DOE
- DOE Typen: Screening, Refining, Optimizing

2. Theoretische Grundlagen
- Vertiefung refining DOE
- Voll-, teilfaktorielle DOE, confounding
- Design generator, design resolution, factor levels, blocking
- Beta-Risiko, Power, Replicates, Repeats, Mid-Points, Lack-of-fit

3. Versuchsplanung und -durchführung, Resultatanalyse
- CNX Variablen
- Experiment set-up mittels Software
- Main effects, interaction plots
- Modellreduzierung, Residualanalyse
- Response optimizer
- Einblick in die nicht-lineare Modellierung

4. Praktische Übung "Katapultschiessen"
- Prozessverständnis
- Versuchsdurchführung
- Auswertung, Modellbildung, Wettbewerb
Lecture noteswird bereitgestellt und kann von den Kursteilnehmer heruntergeladen werden
LiteratureRüttimann, Wegener - The Power of DOE: How to Increase Experimental Design Success and Avoid Pitfalls, JSSM, 2015
Prerequisites / NoticeVoraussetzung für die Kursteilnahme: Studenten des Maschinenbaus, der Betriebswirtschaft o.ä.; Kenntnisse der Statistikgrundlagen sind von Vorteil aber nicht zwingend (kurze Einführung in die inferentielle Statistik und multiple Regression wird vermittelt)
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesfostered
Techniques and Technologiesfostered
Method-specific CompetenciesAnalytical Competenciesfostered
Decision-makingfostered
Problem-solvingfostered

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits0.4 credits
ExaminersB. G. Rüttimann
Typeungraded semester performance
Language of examinationGerman
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places36 at the most
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupMechanical Engineering BSc (152000)
Waiting listuntil 13.02.2023
End of registration periodRegistration only possible until 24.02.2023

Offered in

ProgrammeSectionType
Mechanical Engineering Bachelor6. Semester Engineering ToolsWInformation