Course detail

Statistical Process Control

FSI-XRPAcad. year: 2011/2012

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.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

doc. Ing. Alois Fiala, CSc.

Department

Institute of Production Machines, Systems and Robotics (ÚVSSR)

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.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

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: 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

Course curriculum

Not applicable.

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

The attendance at seminars is compulsory. An alternative assignment may be given to students if the condition is not met (in justified cases).

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Kupka, K. Statistické řízení jakosti. Pardubice: TriloByte Statistical Software, 1997. ISBN 80-238-1818-X. (CS)

Classification of course in study plans

  • Programme M2A-P Master's

    branch M-MŘJ , 1. year of study, summer semester, compulsory
    branch M-MŘJ , 1. year of study, summer semester, compulsory

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

Ing. Petr Koška, Ph.D.

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

Ing. Petr Koška, Ph.D.

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