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Quality control - course description

General information
Course name Quality control
Course ID 06.9-WM-ZiIP-IJ-ANG-D-15_20
Faculty Faculty of Engineering and Technical Sciences
Field of study Management and Production Engineering
Education profile academic
Level of studies Second-cycle studies leading to MSc degree
Beginning semester winter term 2020/2021
Course information
Semester 2
ECTS credits to win 4
Course type obligatory
Teaching language english
Author of syllabus
  • dr inż. Iwona Pająk
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Project 30 2 18 1,2 Credit with grade
Lecture 15 1 9 0,6 Exam

Aim of the course

Gaining extended knowledge about statistical quality control methods, in the course of production and acceptance testing, development of skills to evaluate and supervise measurement systems for the needs of SPC.

Prerequisites

Quality and safety management, mathematical statistics, fundamentals of metrology

Scope

Lecture:

Modifications of classic control charts. Data transformations for control cards for short series. Multi-source cards. Multi-dimensional cards (T2 Hotteling, MEWMA, multi-dimensional CUSUM cards).  Adaptation cards. Cards for distributions other than the normal.

Reception control plans. Statistical quality control in acceptance tests. Reception plans, according to the alternative assessment and numerical properties. Single-stage and multi-stage plans, sequential plans.

Analysis of the stability and capacity of measurement systems for the needs of SPC. Requirements for measuring systems. Procedures for analysing the capacity of measurement systems. Calculation of Cg, Cgk. Analysis of the repeatability and reproducibility of measurements.

Project:

Design tasks are carried out using the STATISTICA software package. The measurement data and random data, provided by the operator, are used to solve problems in the field of stability analysis and the ability to measure processes and systems as well as acceptance assessment.

Teaching methods

Lecture: a conventional lecture

Project: a project implemented in groups or individually

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Lecture: passing the exam

Project: passing the project

Final rating: the arithmetical mean of grades from individual classes.

Recommended reading

  1. Montgomery D.C.,  Introduction to Statistical Quality Control, John Wiley & Sons, New York,  2009
  2. Mitra A., Fundamentals of quality control and improvement, John Wiley & Sons, Hoboken, New Jersey,  2008
  3. Oakland J. S.,  Statistical Process Control, Butterworth-Heinemann, 2007

Further reading

  1. Tapiero C. S., The Management of Quality and its Control, Springer, 1996
  2. Wheeler D. J., Understanding Statistical Process Control,SPC Press, Knoxville, 2010

Notes


Modified by dr inż. Iwona Pająk (last modification: 27-04-2020 11:44)