Course syllabus SMMK1 - Statistical Methods for Quality Management I (ŠAVŠ - SS 2016/2017)

     Czech          English          

Course title:
Statistical Methods for Quality Management I
Semester: SS 2016/2017
Course supervisor: doc. Ing. Eva Jarošová, CSc.
Supervising department:
Prerequisites for registration:
Time allowance: full-time, 1/1 (hours of lectures per week / hours of seminars per week)
part-time, 0/8 (lectures per period / seminars per period)
Type of study: consulting
Form of teaching:
lecture, seminar
Mode of completion and credits:
Exam (3 credits)
Course objective:
The aim is to make students acquainted with basic statistical tools used in quality control.
Course methods:
Lectures and seminars once in a fortnight. Project with assigned data on the theme of statistical process control and process capability analysis. The order of themes may be different in the combined form of study, see learning support in the information system. Midterm test in the combined form within 2. tutorial.
Course content:
Basic tools. Pareto analysis. (allowance 2/2)
Classification and summarization of categorical variables.
Considering importance of causes by means of scores
Pareto principle

Statistical process control. (allowance 2/2)
Principles of statistical process control. Types of control.
Control by variables. Control chart for average and range. Chart for individuals and moving ranges.
Properties of control charts.

Process capability. (allowance 2/2)
a.Inherent and allowable variation.
Well known capability indices.
Verification of assumptions.

Midterm test.
Statistical process control
(allowance 2/2)
Midterm test (Pareto analysis, control charts, capability indices).
Control by attributes. Chart for number nonconforming. Chart for fraction nonconforming.
c.Chart for nonconformities. Chart for nonconformities per item.

5.Acceptance sampling (allowance 2/2)
a.Principles of acceptance sampling. Types of sampling.
Properties of acceptance plans, operating characteristic.
Process steps of acceptance sampling by attributes.

Learning outcomes and competences:
After completing the course, student:
Will be able to explain the basis of statistical process control, choose a suitable type of the Shewhart chart for a given case, apply the chart and interpret the results
Will be able to express the quality level of a process by means of capability indices
Will be able to choose and apply a single attribute acceptance sampling plan
Will be able to identify the most important causes of problems through the Pareto chart

Teaching methods and workload (hours of workload):
Type of teaching method
Daily attendance
Combined form
Direct teaching
     Attendance of lectures
10 h
0 h
     Attendance of courses/seminars/tutorials
10 h
8 h
     Consultations with teacher (part-time form of study)
0 h
5 h
     Course reading and ongoing preparation
15 h
15 h
     Ongoing evaluation
15 h
18 h
     Composing of individual (seminar) work
14 h
16 h
     Preparation for final test20 h
22 h
84 h
84 h
Assessment methods:
Requirement type
Daily attendance
Combined form
Term paper
20 %
20 %
Mid-term test(s)
30 %30 %
Final test
50 %
50 %
100 %
100 %
Course completion:
Evaluation will cover the following items:
project (20%), midterm test (30%), and final test (50%).

100-90 - excellent
89 -80 - very good
79 -70 - good
less then 70 - failed
Support for combined/distance forms of study:
Individul consultations on students request.
Reading list:
Language of instruction: Czech
JAROŠOVÁ, E. Statistické metody řízení jakosti pro kombinovanou formu studia. 1st ed. Mladá Boleslav: Škoda Auto a. s., 2011. ISBN 978-80-87042-37-3.

Language of instruction: Czech
ČSN ISO 8258.: Shewhartovy regulační diagramy. Praha,: 1993. 35 p.
ČSN ISO 2859-1/2000.: Statistické přejímky srovnáváním - cást 1: Přejímací plány AQL pro kontrolu každé dávky v sérii. Praha: Český normalizační institut, 2000. 90 p.
JAROŠOVÁ, E. -- NOSKIEVIČOVÁ, D. Pokročilejší metody statistické regulace procesu. 1st ed. Praha: Grada Publishing, a.s., 2015. ISBN 978-80-247-5355-3.
Language of instruction: English
MONTGOMERY, D C. Statistical quality control.: A modern introduction. 6th ed. Hoboken: John Wiley and Sons, 2009. ISBN 978-0-470-23397-9.

Study plans:
-- item not defined --
Run in the period of:
WS 2020/2021, WS 2019/2020, WS 2018/2019, WS 2017/2018, WS 2016/2017, SS 2015/2016 (and older)
Course tutor:
doc. Ing. Eva Jarošová, CSc. (examiner, instructor, lecturer, supervisor)
Teaching language: Czech, English
Mladá Boleslav

Last modification made by Ing. Zuzana Hejhalová on 02/09/2017.

Type of output: