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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 2022/2023
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 - - Credit with grade
Lecture 15 1 - - 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:

L1-L2: Review of issues discussed during first-cycle studies. Basic SPC tools. Control charts for variables and for attributes. Using information form sequence of observations.

L3: Modifications of classic control cards. Data transformations for control cards for short series.

L4: Multisource and multidimensional control cards (T2 Hotteling, MEWMA, CUSUM multi-dimensional cards).

L5: Adaptation control cards. Cards for distributions other than normal.

L6: Acceptance inspection plans. Statistical quality control in acceptance sampling. Acceptance plans for inspection by variables and by attributes. Single sampling, double sampling, multiple sampling and sequential sampling plans.

L7: Analysis of the stability and capability of measurement systems for SPC. Requirements for measurement systems. Analysis on accuracy of bias, linearity and stability of measurement system. Capability assessment using capability indices Cg, Cgk. Analysis of repeatability and reproducibility.

Project:

P1-P3: Stability analysis of the selected process using the X bar-R control chart. Analysis of control card effectiveness for selected  mean shifts. Comparison of theoretical and actual effectiveness.

P4-P6: Capability analysis of selected processes. Comparison of capability indices for processes with normal distribution and for processes with non-normal distribution. Distribution transformations.

P7-P9: Analysis of the effectiveness of sampling plans (single and double sampling) indexed by acceptance quality limit. Analysis performed on random samples simulating selected batch defect level.

P10-P12: Presentation of the results.

P13-P14: Verification of solutions - passing the projects.

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: written exam preceded by obtaining a credit for project classes

Project: arithmetic mean of the grades obtained for each project activity

Final grade: the condition for passing the course is to pass all its forms, the final grade for the course is the arithmetic mean of the grades for individual forms of 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. Tomasz Belica (last modification: 25-04-2022 09:38)