Course syllabus SMMK2 - Statistical Methods for Quality Management II (ŠAVŠ - WS 2017/2018)

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Course title:
Statistical Methods for Quality Management II
WS 2017/2018
Course supervisor:
Supervising department:
Prerequisites for registration:
Time allowance:
full-time, 2/2 (hours of lectures per week / hours of seminars per week)
part-time, 0/16 (lectures per period / seminars per period)
Type of study:
Form of teaching:
lecture, seminar
Mode of completion and credits: Exam (5 credits)
Course objective:
The aim is to deepen the knowledge of basic statistical tools for quality control and to acquaint students with the advanced statistical methods used for quality improvement.
Course methods:
One project on assigned data with the theme of 1)Pareto analysis, 2)statistical process control including process capability analysis. Two midterm tests in the 6. and 10. seminar.
Course content:
1.Introduction (allowance 2/2)
Pareto analysis

2.Statistical process control. (allowance 8/8)
Shewhart control charts for variables.
b.Shewhart control charts for attributes.
Properties of Shewhart control charts.

Process capability. (allowance 2/2)
Capability and performance indices.
Estimation of indices.

Acceptance sampling. (allowance 2/2)
Types of acceptance sampling.
Attribute acceptance sampling plans based on AQL.
Acceptance sampling by variables.
System of acceptance plans.

Reliability (allowance 4/4)
Characteristics of reliability.
b.Exponential distribution model.
Weibull analysis.

6.Experimental design. (allowance 6/6)
Aims of experiments. Basic techniques of experimentation.
b.Evaluation methods, t-test, ANOVA.
Completely randomized design, randomized blocks, full and fractional factorials.
d.Experiments for measurement system analysis.

Learning outcomes and competences:
After completing the course, student:
Will be able to analyse a process and assess its ability to meet customer expectations
Will be able to design an experiment to study effects of one or more factors, analyse data, and interpret results
-Will be able to estimate major reliability measures based on a given model and interpret their values
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 identify the most important causes of problems through the Pareto chart
Will be able to list and clarify types of acceptance sampling plans, explain the relationship between parameters of a plan and its effectiveness

Teaching methods and workload (hours of workload):
Type of teaching method
Daily attendance
Combined form
Direct teaching
     Attendance of lectures24 h
0 h
     Attendance of courses/seminars/tutorials
24 h
16 h
     Consultations with teacher (part-time form of study)
0 h
8 h
     Course reading and ongoing preparation
12 h12 h
     Ongoing evaluation24 h
32 h
     Composing of individual (seminar) work
24 h
32 h
     Preparation for final test
32 h
40 h
140 h140 h
Assessment methods:
Requirement typeDaily attendanceCombined form
Term paper10 %10 %
Mid-term test(s)
30 %
30 %
Final test60 %60 %
100 %
100 %
Course completion:
Course grade will be determined on the basis of the project (10%), two midterm tests (2x15%) and a final test (60%).

100-90 - excellent
89 -80 - very good
79 -70 - good
less then 70 - failed
Support for combined/distance forms of study:
Individual consultation 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.
ČSN ISO 2859-1.: Statistické přejímky srovnáváním - část 1: Přejímací plány AQL pro kontrolu každé dávky v sérii. Praha: Český normalizační institut, 2000.
ČSN ISO 8258.: Shewhartovy regulační diagramy. Praha,: 1993. 35 p.

Language of instruction: Czech
JAROŠOVÁ, E. -- NOSKIEVIČOVÁ, D. Pokročilejší metody statistické regulace procesu. Praha: Grada Publishing, a.s., 2015. 290 p. ISBN 978-80-247-5355-3.
JAROŠOVÁ, E. Navrhování experimentů a jejich analýza. Praha: ČSJ, 2007. ISBN 978-80-02-01985-5.
KŘEPELA, J. -- FABIAN, F. -- HORÁLEK, V. Statistické metody řízení jakosti. Praha: ČSJ, 2007. 390 p. ISBN 978-80-02-01897-1.

Study plans:
Field of study N-EM-MP Business Administration and Operations, part-time form, initial period SS 2015/2016, place of teaching Mladá Boleslav
Field of study N-EM-MP Business Administration and Operations, part-time form, initial period WS 2016/2017, place of teaching Mladá Boleslav
Field of study N-EM-MP Business Administration and Operations, full-time form, initial period WS 2016/2017, place of teaching Praha
Run in the period of:
Course tutor: doc. Ing. Eva Jarošová, CSc. (examiner, instructor, lecturer, supervisor)
Teaching language:
Mladá Boleslav, Praha

Last modification made by Ing. Zuzana Hejhalová on 11/14/2017.

Type of output: