Czech

5

doc. Ing. Róbert Jankových, CSc.

Institute of Production Machines, Systems and Robotics

Understanding the principles of total quality management, process identification for statistical process control and the quality improvment.

Knowledge of technology and materials. Knowledge of physics and applied statistics. Knowledge of quality management.

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.

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

Fundamental resources and tools of process control, methods of system and statistical analyses, identification process and, etc.

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).

Programme M2I-P: Mechanical Engineering, Master's
branch M-KSB: Quality, Reliability and Safety, compulsory

26 hours, compulsory

Ing. Matej Harčarík

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