Bases of Scientific Metrology and Quality Control (FSI-9ZVM)

Academic year 2020/2021
Supervisor: doc. Ing. Róbert Jankových, CSc.  
Supervising institute: ÚVSSR all courses guaranted by this institute
Teaching language: Czech or English
Aims of the course unit:
The goal of the subject “Basics of scientific metrology and quality control” is the acquisition of theoretical and practical knowledge of scientific metrology and quality management systems in a way, that enables the PhD students to independently solve scientific tasks in this area.
Learning outcomes and competences:
The student will gain extensive and complex knowledge of scientific metrology and quality management systems, which will enable them to solve related problems in industrial practice with erudition.
Prerequisites:
Knowledge of fundamentals of metrology, manufacturing technology and materials, knowledge of physics and applied statistics, basic knowledge of quality control.
Course contents:
The subject is aimed at mastering the basics of scientific metrology, theory of measurement errors and uncertainties. Students will familiarize themselves with methods of process control, system and statistical analysis applicable in management of businesses and subordinate processes. Students will also understand the rules for process identification and selection of statistical variables of serial and job production. Students will master the rules of data collection and sorting, data analysis and their use for statistical process control.
Teaching methods and criteria:
The subject is taught in lectures, which explain the basic principles and theories of the discipline.
Assesment methods and criteria linked to learning outcomes:
Examination from the field of this cource curriculum and its application in the semestral work.
Controlled participation in lessons:
The subject is carried out as lectures and consultations, attendance is controlled.
Type of course unit:
    Lecture  10 × 2 hrs. optionally                  
Course curriculum:
    Lecture 1. Introduction to scientific metrology, system of metrological confirmation.
2. Measurement errors and their elimination.
3. Measurement trueness and precision, repeatability and reproducibility.
4. Measurement uncertainty.
5. Statistical tools in metrology
6. Statistical process control. General rules for SPC.
7. Control charts for variables.
8. Process capability. Indexes of shortterm and longterm capability.
9. Measurement capability.
10. Control charts for attributes.
Literature - fundamental:
1. Gao, W. Metrology. Berlin: Springer, 2019. ISBN 978-981-10-4939-2.
2. MONTGOMERY, D. C. Introduction to Statistical Quality Control, Sixth Edition. Jefferson City: John Wiley & Sons, Inc., 2009. ISBN 978-0-470-16992-6.
3. JURAN, J. M. a GODFREY, A. B. Juran's Quality Control Handbook. 5. ed. New York [u.a.]: McGraw-Hill, 1999. ISBN 00-703-4003-X.
4. WILLINK, R. Measurement Uncertainty and Probability. Cambridge: Cambridge University Press, 2013. ISBN 978-113-9135-085.
5. TOŠENOVSKÝ, J. a NOSKIEVIČOVÁ, D. Statistické metody pro zlepšování jakosti. Ostrava: Montanex a.s., 2000. ISBN 80-7225-040-X.
6. JAROŠOVÁ E. a NOSKIEVIČOVÁ, D. Pokročilejší metody statistické regulace procesu. Praha: Grada Publishing, 2015. ISBN 978-80-247-5355-3.
7. RABINOVICH, Semyon G. Evaluating measurement accuracy. New York: Springer, 2013. ISBN ISBN978-1-4614-6716-8.
8. BUCHER, Jay L., ed. The Metrology Handbook. 2nd ed. Milwauke, Wis: ASQ Quality Press, 2012. ISBN 978-087-3898-386.
9. DRBÚL, M., ŠAJGALÍK, M. a kol. Strojárska metrológia a kvalita povrchov vytvorených technológiami obrábania. Žilina: Žilinská univerzita v Žiline, 2014, ITMS 22410320051.
Literature - recommended:
1. Wheeler, D.J. Understanding Statistical Process Control. Knoxville, Tennessee: SPC Press, 2019. ISBN 978-0-945320-69-2.
2. CURTIS, Mark A. and Francis T. FARAGO. Handbook of dimensional measurement. Fifth edition. South Norwalk: Industrial Press, 2014. ISBN 978-0-8311-3465-5.
3. JANKOVÝCH, R. a MAJTANÍK, J. Quality of Weapons and Ammunition I. 1. vyd. Brno: Univerzita obrany, 2008. 84 s. ISBN 978-80-7231-585-7.
4. KUPKA, K. Statistické řízení jakosti. Pardubice: TriloByte Statistical Software, 1997. ISBN 80-238-1818-X.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
D-KPI-P full-time study --- no specialisation -- DrEx 0 Recommended course 3 1 W