26 hours, optionally

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.

39 hours, optionally

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).

26 hours, optionally

Independent study of materials related to the exercise; preparation of calculations, designs, and procedures for practical tasks; study of instructions and technical documentation; continuous preparation for knowledge assessment.