Course detail

Quality management

FEKT-MPC-QMAAcad. year: 2024/2025

Technical aspects of technological processes management related to process control, optimisation and improvement. Systematic procedures, methods and tools related to industrial and transaction process control.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

doc. Ing. Radovan Novotný, Ph.D.

Department

Department of Microelectronics (UMEL)

Entry knowledge

The subject knowledge on the Bachelor´s degree level is requested.

Rules for evaluation and completion of the course

Student’s appraisal-examination: excellent (90-100 points), very good (80-89 points), good (70-79 points), favourable (60-69 points), satisfactory (50-59 points), unsatisfactory (0-49 points). Points allocation according the written notification at the course beginning.
The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Aims

Development of students qualification related to the study area
Knowledes related to process control and optimisation, presentation skills and temwork problems solving.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Analýza možností vzniku vad a jejich následků: příručka FMEA : FMEA návrhu produktu, FMEA procesu, doplňková FMEA monitorování a odezvy systému. Praha: Česká společnost pro jakost, 2019. ISBN 978-80-02-02885-7 (CS)
ČSN ISO 13053-1 (010217) Kvantitativní metody zlepšování procesu - Six Sigma. Část 1, Metodologie DMAIC = Quantitative methods in process improvement - Six Sigma. Part 1, DMAIC methodology. Praha: Úřad pro technickou normalizaci, metrologii a státní zkušebnictví, 2013. Dostupné také z: http://csnonline.agentura-cas.cz/ (CS)
ČSN ISO 18404 (010218) Kvantitativní metody zlepšování procesu - Six Sigma - Kompetence klíčového personálu a jejich uspořádání ve vztahu k implementaci Six Sigma a Lean. Praha: Úřad pro technickou normalizaci, metrologii a státní zkušebnictví, 2018. Dostupné také z: http://csnonline.agentura-cas.cz/ (CS)
JONES, Erick C. Quality management for organization using lean Six Sigma techniques. Boca Raton: CRC Press, c2014. ISBN 978-1-4398-9782-9. (CS)
MAUCH, Peter D. Quality management: theory and application. Boca Raton: CRC Press, Taylor & Francis Group, 2017. ISBN 978-1-138-11620-7. (CS)
Novotný, R. Řízení technologických procesů - prezentace. FEKT VUT v Brně, 2015.
Novotný, R. Řízení technologických procesů. FEKT VUT v Brně, 2015.
SU, Chao-Ton. Quality engineering: off-line methods and applications. Boca Raton: CRC Press, c2013. ISBN 978-1-4665-6947-8. (CS)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme MPC-MEL Master's 2 year of study, summer semester, compulsory-optional

  • Programme RRTES_P Master's

    specialization RRTS , 2 year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Radovan Novotný, Ph.D.

Syllabus

1. Management introduction, planning, organization, coordination, inspection, organisational structure, authority and responsibility, job description, standardisation in repeated processes, organizational culture impact.
2. Process management in the organisation, IPO diagram, SIPOC a process approach. Critical parameters identification related to product and process, QFD concept.
3. Metrology, quality of measured data, measurement system attributes, traceability chain, repeatability and reproduceability analysis, analysis of attributive measurement system.
4. Operational process control, repressive and preventive approach, non-conformance product control, traceability, G8D process, management of one-shot and repeated processes.
5. Process management methods and tools, seven basic tools, product and process FMEA analysis.
6. Statistical methods and tools for decision making and process control.
7. Process variability and sources of process variability, statistical process control, control charts, process control charts types.
8. Process stability evaluation and assurance.
9. Process capability, tolerance setting and requirements specification and capability and performance indexes.
10. Quality planning, critical parameters determination, tolerance limits specification, measurement systems evaluation, Process stability and process capability evaluation.
11. Critical technological factor determination by using design of experiment techniques (DOE).
12. Industrial and transactional process improvement approaches, lean thinking, six sigma and lean six sigma, DMAIC methodology and belt roles.
13. Economical aspects of process management cost of poor quality - COPQ, lean thinking, material and information flow analysis (value stream map), waste identification and value added analysis.

Exercise in computer lab

39 hod., optionally

Teacher / Lecturer

doc. Ing. Radovan Novotný, Ph.D.

Syllabus

1. SIPOC diagram, critical to quality parameters determination (CTQ), tolerance setting, process mapping, team results presentation. Situational study solved by teamwork.
2. Quality problem causes evaluation and analysis, cause and effect diagram, interrelationship diagram, nominal group technique and team results presentation. Situational study solved by teamwork.
3. Technological process FMEA analysis – case study with output in the form of FMEA table. Team results presentation and comparison.
4. Seminar works presentation, colloquium and feedback – part I.
5. Applied descriptive statistics methods for technological treatment evaluation. Data stratification, graphical and numerical analysis. Computer exercise.
6. Applied inductive statistics methods for quality assurance – t-test, ANOVA, chi-square – Situational study, computer exercise.
7. Seminar works presentation, colloquium and feedback – part II.
8. Repeatability and reproduceability study by using mean-range method. Measurement system establishing, experiment execution and evaluation.
9. Control charts, control limits setting and logical subgroups definition. Technological process simulation study, computer exercise.
10. Technology capability evaluation. Analytical examples solved by using statistical software.
11. Technological process optimisation by using design of experiments techniques. Case study by using virtual laboratory.
12. Seminar works presentation, colloquium and feedback – part III.
13. Quality problem solving in the frame of an industrial company – situational study by using action learning (labyrinth case study).