639-0934/01 – Selected Methods of Industrial Statistics (MPS)

Gurantor departmentDepartment of Quality ManagementCredits10
Subject guarantorprof. Ing. Darja Noskievičová, CSc.Subject version guarantorprof. Ing. Darja Noskievičová, CSc.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2016/2017Year of cancellation
Intended for the facultiesFMT, HGFIntended for study typesDoctoral
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 Examination 20+0
Combined Examination 20+0

Subject aims expressed by acquired skills and competences

Offering a student deeper theoretical basis of statistical proces control (SPC)and training him in practical applications of basic and advanced methods of SPC using specialized SW are the main goals of this subject. The student will be able to make the complex analysis of the properties of explored data and to choose and apply the most suitable control chart based on this data analysis.

Teaching methods

Individual consultations
Project work

Summary

Subject offers a student deeper theoretical basis of statistical proces control (SPC) and training him in practical applications of basic and advanced methods of SPC using specialized SW. The student will be able to make the complex analysis of the properties of explored data and to choose and apply the most suitable control chart based on this data analysis.

Compulsory literature:

http://katedry.fmmi.vsb.cz/Opory_FMMI_ENG/QM/Special%20Statistical%20Methods.pdf MONTGOMERY, D. C. Statistical quality control: A modern introduction. Hoboken: J. Wiley, 2013. ISBN 978-1118146811. MITRA, A. Fundamentals of quality control and improvement. Hoboken: Wiley, 2016. ISBN: 978-1-118-70514-8.

Recommended literature:

RYAN, T. P. Statistical methods for quality improvement. Hoboken: J. Wiley  Sons, 2011. ISBN 978-1-118-05811-4. XIE M. , et al. Statistical methods and control charts for high-quality processes. Boston: Kluwer Academic Publishers, 2002. ISBN 1-4020-7074-8.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

Elaboration of seminar work on a given topic and its defence in the frame of the exam.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

• Process variability basis. Basic models of the process variability. • Statistical basis of SPC. • Selected practical aspects of SPC. • Verification of assumptions about data. • Selection of the suitable control chart in relation to the results of the data assumptions verification. • Control charts for non-normally distributed data. • Control charts for processes with non-constant mean. • Control charts for detection of medium and small process changes. • Control charts for auto-correlated data. • Multivariate control charts. • Short run control charts. • Control charts for high yield processes. • SPC and EPC (Engineering Process Control). • Adaptive and nonparametric approaches in SPC. • Process capability assessment (conventional and nonconventional approaches). • Summary and selection of the sampling plans systems. • Assessment of the sampling plan efficiency.

Conditions for subject completion

Full-time form (validity from: 2016/2017 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2019/2020 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2018/2019 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2017/2018 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2016/2017 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner