Course detail

Statistical Quality Management

FSI-PSRAcad. year: 2021/2022

Quality management in foundries based on statistical methods and methods for quality support, in compliance with the CSN ISO Standards. The theory and application of the methods of SPC (statistical process control) and other tools of quality management. Analysis of foundry competitiveness (quality function deployment - QFD). Basic problems of total quality management (TQM)and practical application of CSN EN ISO Standards of the 9000, 45000 and 14000 series.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

Ing. Václav Kaňa, Ph.D.

Department

Institute of Manufacturing Technology (ÚST)

Learning outcomes of the course unit

The course will enable students to acquire such knowledge and information that are needed for the preparation of the manual of quality, for the solution of a number of technological processes and for improving these processes.

Prerequisites

Knowledge of specific areas of technology, metrology and mathematical statistics.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Teaching is suplemented by practical application of basic statistical analyzes on a computer.

Assesment methods and criteria linked to learning outcomes

Attendance at lecture is recommended. Attendance at seminars is required. Understanding the subject-matter delivered by the lecturer is checked in practicals. The leader of practicals assigns students independent work. Students agree with the course supervisor on making up for absence from classes.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The aim of the course 'Statistical quality management' is to make students acquainted with the fundamentals and application of statistical quality management in engineering enterprises. This knowledge they could apply creatively when they work on partial projects and on the final diploma project and as well in praxis.

Specification of controlled education, way of implementation and compensation for absences

Awarding the course-unit credit is conditional on active attendance at exercises. For the exam, students get list of questions covering the subject matter dealt with. The exam is oral, with written preparation.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Dietrich, F., Schulze,A.: Statistical Procedures for Machine and Process Capability, , 0
Grant,L., Leavenworth, R.: Statistical Quality Control, , 0
Maring,W.: Handbuch Qualitatsmanagement, , 0

Recommended reading

Čech,J. a kol.: Statistické řízení jakosti, , 0
Kupka,K.: Statistické řízení jakosti, , 0
Václavek, J.: Statistická regulace výrobních procesů, , 0

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme N-SLE-P Master's 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Róbert Jankových, CSc.

Syllabus

1. The concept of quality. Personal quality.
2. Global conception, communitarian law in EU.
3. ISO Standards, certification, conformity modules - CE.
4. TQM fundamentals, differences between ISO and TQM.
5. Statistical control via measurement and comparison.
6. Machine and process capability.
7. Design and technology FMEA.
8. Quality assurance procedures and methods (QFD and DOE).
9. Process management, continual improvement.
10. Application of statistical procedures to individual technologies.
11. Statistical control via comparison - acceptance plan.
12. Seven tools of quality management as used in Japanese management.
13. Quality management systems in foundry practice, audits.

Laboratory exercise

13 hod., compulsory

Teacher / Lecturer

doc. Ing. Róbert Jankových, CSc.

Syllabus

1. Factors affecting level A, level I, qualitative goals.
2. Causes of failures, factor of department quality, department indicator.
3. Application of the ISO standards in foundries.
4. Taguchi loss function.
5. X/s and X/R control diagram - practical application.
6. Machine and process capabilities - practical application.
7. Application of FMEA in foundry operation.
8. QFD.
9. Use of statistical software for data processing.
10. Acceptance plans.
11. Applying of seven tools of quality management in foundry engineering 1.
12. Applying of seven tools of quality management in foundry engineering 2.
13. Curriculum summary, award assessment.

Elearning

eLearning: currently opened course