Course detail

Statistical Process Control

FSI-XRPAcad. year: 2019/2020

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.

Learning outcomes of the course unit

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.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

MONTGOMERY, D. C. Introduction to Statistical Quality Control, Sixth Edition. Jefferson City: John Wiley & Sons, Inc., 2009. ISBN 978-0-470-16992-6. (EN)
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. (EN)
Kupka, K. Statistické řízení jakosti. Pardubice: TriloByte Statistical Software, 1997. ISBN 80-238-1818-X. (CS)
Fiala, A. Statistické řízení jakosti. Prostředky a nástroje pro řízení a zlepšování procesů. Brno: VUT, 1997. ISBN 80-214-0895-2. (CS)
Tošenovský, J. a Noskievičová, D. Statistické metody pro zlepšování jakosti. Ostrava: Montanex a.s., 2000. ISBN 80-7225-040-X. (CS)
Michálek, J. Vyhodnocování způsobilosti a výkonnosti výrobního procesu. Praha: CQR, 2009. ISBN 978-80-903834-2-5. (CS)
Shewhart, W.A. Statistical Method from the Viewpoint of Quality Control. New York: Dover Publication, INC., 1986. (EN)

Planned learning activities and teaching methods

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

Language of instruction

Czech

Work placements

Not applicable.

Aims

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

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

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).

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-KSB , 1. year of study, summer semester, 5 credits, compulsory

  • Programme RRTES_P Master's

    specialization RRTS , 1. year of study, summer semester, 4 credits, compulsory-optional

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Syllabus

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

26 hours, compulsory

Teacher / Lecturer

Syllabus

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