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The course is focused on the practical application of both individual components (methods and techniques - especially applied statistical methods and techniques) used in the Six Sigma approach, and the joint application of these components within the entire DMAIC cycle (define, measure, analyze, improve, control). Last update: Švecová Lenka (16.05.2022)
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Activity at seminars, online tests, seminar work, exam Last update: Švecová Lenka (08.02.2021)
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R: KELLER, Paul. Six Sigma demystified: A self-teaching guide. McGraw-Hill, 2011. R: MORGAN, John; BRENIG-JONES, Martin. Lean Six Sigma for Dummies. John Wiley & Sons, 2021. A: GEORGE, Michael L., et al. Lean six sigma pocket toolbook. McGraw-Hill Professional Publishing, 2004. A: LIKER, The Toyota Way, Second Edition: 14 Management Principles from the World's Greatest Manufacturer. McGraw-Hill Professional Publishing, 2020. Last update: Švecová Lenka (16.05.2022)
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1. Six Sigma (basics and history of the approach, focus of methodology and application options), Six Sigma applications in production and service delivery 2. The relationship between Six Sigma and Lean Management, linking the goals of Six Sigma projects with the strategy of the organization 3. Basic description of DMAIC methodology 4. DEFINE - project selection for Six Sigma application, project team creation and project planning 5. DEFINE - stakeholder analysis (relationship analysis, influence matrix, choice of communication strategy for individual stakeholders) 6. DEFINE - customer voice determination (VOC) and identification of CTQ (Critical to Quality) 7. DEFINE / MEASURE - process mapping 8. MEASURE - process capability, determination of causes, identification of root causes 9. MEASURE - planning of data collection, implementation of data collection (types of data, forms for data collection, operational definitions for measurement and monitoring, ensuring and verification of data validity) 10. ANALYSIS - data analysis (graphical analysis, correlation and regression analysis, hypothesis testing), verification of the correctness of root cause identification 11. IMPROVE - solution design, priority setting and choice of solution variant 12. IMPROVE - implementation of improvements 13. CONTROL - planning process control and confirming the correctness of solutions within process improvement (SPC - Statistical Process Control - control diagrams) 14. Closing the Six Sigma project Last update: Švecová Lenka (16.05.2022)
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