The aim of the course is the introduction of students to the concept of quality control, the presentation of the main scientific methods and techniques of statistical quality control, and their application to product improvement

Introduction to the concept of quality. Acceptance sampling for attributes: single and multiple sampling schemes, design by statistical and economic criteria, ELOT standard. Acceptance sampling for variables: plans based on fraction of defectives and process mean, design by statistical criteria, international standards. Process capability analysis. Control charts for attributes: fraction of defectives, number of defectives, number of defects. Control charts for variables: range, standard deviation, mean value, individual measurements. Design of control charts. Process improvement by statistical experiments: factorial and fractional factorial experiments, Taguchi methodology.

Suggested Literature :

• Ταγαράς Γ.Ν., Στατιστικός Έλεγχος Ποιότητας, Εκδόσεις Ζήτη, 2001.
• Grant E.L., Leavenworth R.S., Statistical Quality Control, McGraw‐Hill, 1988.
• Montgomery D.C., Introduction to Statistical Quality Control, Wiley, 1991.
• Ryan T.P., Statistical Methods for Quality Improvement, Wiley, 1989.

Related Academic Journals:

• Journal of Quality Technology
• Quality and Reliability Engineering International
•  Quality Engineering

There are no prerequisite courses. It is recommended that students who are
interested in attending the course have completed successfully the following course:
ΟΠ0211 APPLIED STATISTICS I

Greek

Lectures