Quality Tools (5 cr)

Evaluation scale

H-5

Content scheduling

- Define the main quality tools
- Establish the quality tools for continuous improvement and problem-solving
- Evaluate critically the applying of quality tools in practica
- Nonlinear curve fitting and surface fitting
- Measurement errors
- Analysis of variance, ANOVA
- Design of Experiment, One factor at a time, Factorial Design, Response surface method
- Evaluation of measurement processes

There are four contact (online) days (1.10.2021, 29.10, 5.11.2021 and 3.12.2021).)

Objective

After completing the course, the student is able to
- define the main quality tools
- choose a suitable software or programming environment for statistical analysis and use it.
- do variance analysis, ANOVA
- represent 2D and 3D data graphically
- make non-linear fits and surface fits and use these to analyze data
- do statistical Design of Experiments (DoE)

Content

-Cause-and-effect diagram
-Check sheet
-Control chart
-Pareto chart
-Stratification
-Nonlinear curve fitting and surface fitting
-Measurement errors
-Analysis of variance, ANOVA
-Design of Experiment, One factor at a time, Factorial Design, Response surface method
-Evaluation of measurement processes

Materials

Sarah E. Burke and Rachel T. Silvestrini. The Certified Quality Engineer Handbook. ASQ Quality Press
Milwaukee, Wisconsin 2017
Data Analysis and Design of Experiment:
Michael H. Herzog, Gregory Francis, Aaron Clarke. Understanding Statistics and Experimental Design - How to Not Lie with Statistics. Springer Open. 2019 ISBN 978-3-030-03498-6 ISBN 978-3-030-03499-3 (eBook) https://doi.org/10.1007/978-3-030-03499-3
Franz Kronthaler, Silke Zöllner. Data Analysis with RStudio - An Easy going Introduction. Springer Spectrum and R Studio. 2021 ISBN 978-3-662-62517-0 ISBN 978-3-662-62518-7 (eBook) https://doi.org/10.1007/978-3-662-62518-7.
Amitava Mitra, Fundamentals of quality control and improvement, 4th ed. John Wiley & Sons, Inc., Hoboken, New Jersey. 2016. ISBN 978-1-118-70514-8 (cloth)

Teaching methods

- On-line videos and lectures
- Independent exercises, quizzes
- Group assignments
- Individual assignments

Pedagogic approaches and sustainable development

- Team-based learning in student groups and presentations (substance and communication skills)
- Individual assignments
- Independent working and information retrieval from reference material

Student workload

Contact days and lectures: 16 hours = 4 x 4 hours (Online working)
There are four contact days (1.10.2021, 29.10, 5.11.2021 and 3.12.2021).)

-Group work and assignments
-Individual work and assignments

Evaluation methods and criteria

Assessment will be based on the individual and group assignments submitted in the itslearning course platform.

Failed (0)

Basic learning outcomes are not met.
Assignments are not returned or the quality is poor or incorrect.

Assessment criteria, satisfactory (1-2)

Assignments partly returned and the quality is weak.

Assessment criteria, good (3-4)

Assignments are returned and the quality is good.

Assessment criteria, excellent (5)

All assignments are returned and correctly solved. Solution are correctness are verified and critically evaluated.