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.

Notes

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

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