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 2020/2021 |
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 | 18 | 1,2 | Credit with grade |
Lecture | 15 | 1 | 9 | 0,6 | 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:
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.
Lecture: a conventional lecture
Project: a project implemented in groups or individually
Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture: passing the exam
Project: passing the project
Final rating: the arithmetical mean of grades from individual classes.
Modified by dr inż. Iwona Pająk (last modification: 27-04-2020 11:44)