QUALITY ENGINEERING

Academic Year 2016/2017 - 2° Year
Teaching Staff: Giovanni CELANO
Credit Value: 9
Scientific field: ING-IND/16 - Manufacturing technology and systems
Taught classes: 54 hours
Term / Semester:

Learning Objectives

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.

Detailed Course Content

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


Textbook Information

1. D.C. Montgomery, “Introduction to Statistical Quality Control”, 6th edn or successive, Wiley. MAIN TEXT

2. K. Magnusson, D. Kroslid, B. Bergman, 2003, “Six Sigma: The Pragmatic Approach, Studentilitteratur, Sweden, ISBN: 9-789-144-028033.