639-0805/03 – Special Statistical Methods (SSM)

Gurantor departmentDepartment of Quality ManagementCredits6
Subject guarantorprof. Ing. Darja Noskievičová, CSc.Subject version guarantorprof. Ing. Darja Noskievičová, CSc.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageCzech
Year of introduction2012/2013Year of cancellation
Intended for the facultiesFMTIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
NOS35 prof. Ing. Darja Noskievičová, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+4
Part-time Credit and Examination 6+12

Subject aims expressed by acquired skills and competences

Students will: - be able to select suitable graphical methods and statistical tests for verification of data presumptions - be able to realize complex statistical data analysis - be able to select suitable method of random sampling - be able to select and apply suitable system of sampling plans - be able to compute a analyze supplier and customer risks - be able to aplly different methods of acceptance sampling for variables - be able to compute false and missing signal and ARL for selected control charts - be able to construct and analyse operational characteristics of selected control charts - be able to select suitable methods of SPC when presumptions for traditional Shewhart control charts are not met - be able to apply nontraditional SPC methods (control charts for nonnormaly distributed data, for autocorrelated data, for multivariable characteristics, for short run processes, for little changes of process parameters).

Teaching methods

Lectures
Tutorials
Project work

Summary

This subject aims to make deeper students´ theoretical basis and practical experience with statistical methods for quality management. A big stress is put on the verification of data pre-conditions, complex solution of problems, special therminology in foreign language. Non-traditional methods, especially in the field of statistical process control, are taken into account.

Compulsory literature:

1. MONTGOMERY, D., C.: Introduction to Stratistical Quality Control. J.Wiley and Sons, New York, 2004, 832 p. ISBN 0-471-66122-8.

Recommended literature:

MITRA,A.: Fundamentals of Quality Control and Improvement. New York: Macmillan Publishing Company, 1993, 651 s. ISBN O-O2-381791-7.

Way of continuous check of knowledge in the course of semester

E-learning

www FMMI

Další požadavky na studenta

Podmínky udělení zápočtu - prezenční forma studia: - min. 80% účast na cvičeních; - včasné odevzdání a úspěšné vyřešení programů; - zpracování a prezentace seminární práce; - úspěšné vyřešení zápočtového testu. Podmínky udělení zápočtu - kombinovaná forma studia: - min. 80% účast na cvičeních; - osobní převzetí zadání programů a seminární práce; - včasné odevzdání a úspěšné vyřešení programů a seminární práce; - úspěšné vyřešení zápočtového testu. Podmínky absolvování zkoušky - obě formy studia: - získání zápočtu; - zkoušky z prerekvizit; - úspěšné vyřešení písemné části zkoušky (nutné získat min. počet bodů v každém ze dvou příkladů); - úspěšné absolvování ústní části zkoušky.

Prerequisities

Subject codeAbbreviationTitleRequirement
639-0408 BSM Basic Statistical Methods for Quality Management Recommended
639-0803 EM Econometrics Recommended

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Complex statistical data analysis (verification of normality, homogenity, data iindependence) 3. Methods of random sampling. 4. Statistical process control (SPC) as a hypothesis testing, risk of false signal, risk of missing signal, ARL, operating characteristics curve of control chart. 5. SPC phases. 6. Preconditions for the correct application of Shewhart control charts. Nontraditional SPC methods (survey). 7. Short Run control charts. Control charts for nonnormally distributed data. 8. Multivariate SPC. 9. SPC for autocorrelated data. 10. Statistical basic of acceptance sampling. Efficiency and effectivity of sampling plans. 11. Computation of producer and consumer risks. Construction of OC curve of sampling plans. Computation of sampling plan parameters. 12. Variable and attribute acceptance sampling plans. 13. Systems of sampling plans. 14. Prezentation of seminary works.

Conditions for subject completion

Full-time form (validity from: 2012/2013 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 40 (40) 20
                Individuální programy a seminární práce Project 33  19
                Zápočtový test Written test 4  1
                Aktivní účast na cvičeních Other task type 3  0
        Examination Examination 60  31
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2014/2015 (N3922) Economics and Management of Industrial Systems (3902T041) Quality Management K Czech Ostrava 1 Compulsory study plan
2014/2015 (N3922) Economics and Management of Industrial Systems (3902T041) Quality Management P Czech Ostrava 1 Compulsory study plan
2013/2014 (N3922) Economics and Management of Industrial Systems (3902T041) Quality Management P Czech Ostrava 1 Compulsory study plan
2013/2014 (N3922) Economics and Management of Industrial Systems (3902T041) Quality Management K Czech Ostrava 1 Compulsory study plan
2012/2013 (N3922) Economics and Management of Industrial Systems (3902T041) Quality Management P Czech Ostrava 1 Compulsory study plan
2012/2013 (N3922) Economics and Management of Industrial Systems (3902T041) Quality Management K Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner