Statistical Process Control (FSI-XRP)

Academic year 2018/2019
Supervisor: doc. Ing. Róbert Jankových, CSc.  
Supervising institute: ÚVSSR all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
Fundamental resources and tools of process control, methods of system and statistical analyses, identification process and, etc.
Learning outcomes and competences:
Understanding the principles of total quality management, process identification for statistical process control and the quality improvment.
Prerequisites:
Knowledge of technology and materials. Knowledge of physics and applied statistics. Knowledge of quality management.
Course contents:
Identification of the processes, statistical charts, batch and single part production. Significant charts of unsubstantial products and processes (activities). Random and systematic influences on processes, analysis of processes capability.
Teaching methods and criteria:
The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.
According to the possibility of teaching can be organized lectures for students by practitioners and excursions to companies focused on activities related to the course content.
Assesment methods and criteria linked to learning outcomes:
The course unit credit requirements: Participation in seminars and submitting a seminar project. The exam has written and oral parts. Exam evaluation is graded on the ECTS grading scale: excellent (90-100 points), very good (80-89 points), good (70-79 points), satisfactory (60-69 points), sufficient (50-59 points), failed (0-49 points
Controlled participation in lessons:
Attendance in lectures is recommended. The attendance at seminars is compulsory. An alternative assignment may be given to students if the condition is not met (in justified cases).
Type of course unit:
    Lecture  13 × 2 hrs. optionally                  
    Computer-assisted exercise  13 × 2 hrs. compulsory                  
Course curriculum:
    Lecture Analysis of processes
Identification of different types of processes.
Data collection
Histograms
Ishikaw’s diagram
Statistical process control
Statistical regulation based on measurements
Statistical regulation based on comparison
Quality journal
Statistical inspection
    Computer-assisted exercise Analysis of processes
Identification of different types of processes.
Data collection
Histograms
Ishikaw’s diagram
Statistical process control
Statistical regulation based on measurements
Statistical regulation based on comparison
Quality journal
Statistical inspection
Literature - fundamental:
1. MONTGOMERY, D. C. Introduction to Statistical Quality Control, Sixth Edition. Jefferson City: John Wiley & Sons, Inc., 2009. ISBN 978-0-470-16992-6.
2. Shewhart, W.A. Statistical Method from the Viewpoint of Quality Control. New York: Dover Publication, INC., 1986.
3. Tošenovský, J. a Noskievičová, D. Statistické metody pro zlepšování jakosti. Ostrava: Montanex a.s., 2000. ISBN 80-7225-040-X.
4. Michálek, J. Vyhodnocování způsobilosti a výkonnosti výrobního procesu. Praha: CQR, 2009. ISBN 978-80-903834-2-5.
5. Fiala, A. Statistické řízení jakosti. Prostředky a nástroje pro řízení a zlepšování procesů. Brno: VUT, 1997. ISBN 80-214-0895-2.
Literature - recommended:
1. JURAN, J. M. and GODFREY, A. B. Juran's Quality Control Handbook. 5. ed. New York [u.a.]: McGraw-Hill, 1999. ISBN 00-703-4003-X.
2. Kupka, K. Statistické řízení jakosti. Pardubice: TriloByte Statistical Software, 1997. ISBN 80-238-1818-X.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
M2I-P full-time study M-KSB Quality, Reliability and Safety -- Cr,Ex 5 Compulsory 2 1 S