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
Semester:
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:
usual
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)
 
a.
Pareto analysis
b.Histogram

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

3.
Process capability. (allowance 2/2)
 
a.
Capability and performance indices.
b.
Estimation of indices.
c.
Assumptions.

4.
Acceptance sampling. (allowance 2/2)
 
a.
Types of acceptance sampling.
b.
Attribute acceptance sampling plans based on AQL.
c.
Acceptance sampling by variables.
d.
System of acceptance plans.

5.
Reliability (allowance 4/4)
 
a.
Characteristics of reliability.
b.Exponential distribution model.
c.
Weibull analysis.

6.Experimental design. (allowance 6/6)
 
a.
Aims of experiments. Basic techniques of experimentation.
b.Evaluation methods, t-test, ANOVA.
c.
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
Self-study
     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
Total
140 h140 h
 
Assessment methods:
Requirement typeDaily attendanceCombined form
Term paper10 %10 %
Mid-term test(s)
30 %
30 %
Final test60 %60 %
Total
100 %
100 %
 
Course completion:
Evaluation:
Course grade will be determined on the basis of the project (10%), two midterm tests (2x15%) and a final test (60%).

Grades:
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:
Basic:
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.

Recommended:
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:
Czech
Room:
Mladá Boleslav, Praha


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

Type of output: