QUALITY ENGINEERING

The expected learning outcomes of this course are:

• Enhancing the awareness about the quality principles, quality management philosophies and quantitative methodologies adopted in manufacturing and service organizations;
• Introduding the design and implementation of the most important Statistical Process Control techniques;
• Providing techniques to assess process and measurement system capability;
• Introducing the basic concepts about the experimental design for process improvement;
• Getting skills in the utilization of software for statistical analysis in quality engineering.

This course introduces students to quality management philosophies commonly used either in industry and service companies to monitor processes and their performance. Particular emphasis is given to statistical techniques for monitoring process stability and achieving continuous improvement.

Learning is based on theory classes and practice sessions. Practice sessions are scheduled once per week and consist of solving numerical problems/case studies.

Some selected exercises are solved by using Minitab, Design Expert and/or R software

1. D.C. Montgomery, “Statistical Quality Control”, 6^th edn or successive, Wiley. MAIN TEXT. The most widely used textbook about SQC in Universities teaching courses on Quality Engineering and in Companies implementing SQC tools.

2. C. Cochran, “ISO 9001: 2015 in plain English”, 2015, Paton Professional, ISBN: 978-1-932828-72-6. A recent guide to the implementation of the new ISO 9000: 2015.

3. K. Magnusson, D. Kroslid, B. Bergman, 2003, “Six Sigma: The Pragmatic Approach, Studentilitteratur, Sweden, ISBN: 9-789-144-028033. A professional text presenting the Six Sigma approach.

4. Q. Brook, “Lean Six Sigma & Minitab”, 4^th edn., 2014, OPEX Resources Ltd, ISBN-13: 978-0954681388. A very good text for professional use of Minitab in a lean Six Sigma context.