1. SylabUZ
2. Wydział Mechaniczny
3. semestr zimowy 2022/2023
4. Management and Production Engineering - drugiego stopnia z tyt. magistra inżyniera
5. Quality control

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Quality control - opis przedmiotu

Cel przedmiotu

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.

Wymagania wstępne

Zapisz zmiany

Quality and safety management, mathematical statistics, fundamentals of metrology

Zakres tematyczny

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.

Metody kształcenia

Lecture: a conventional lecture

Project: a project implemented in groups or individually

Efekty uczenia się i metody weryfikacji osiągania efektów uczenia się

Opis efektu	Symbole efektów	Metody weryfikacji	Forma zajęć

Warunki zaliczenia

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

Literatura podstawowa

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

Literatura uzupełniająca

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

Uwagi

Zmodyfikowane przez dr inż. Tomasz Belica (ostatnia modyfikacja: 25-04-2022 09:38)