SylabUZ
| 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 |
| Semester | 2 |
| ECTS credits to win | 4 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| 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 |
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.
Quality and safety management, mathematical statistics, fundamentals of metrology
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.
Lecture: a conventional lecture
Project: a project implemented in groups or individually
| Outcome description | Outcome symbols | Methods of verification | The class form |
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
Modified by dr inż. Tomasz Belica (last modification: 25-04-2022 09:38)
