| Language: | English |
| Location: | Online |
| Duration: | 5 days in one week |
| Start: | variable, self-paced |
| Cost: | 535 € |
Define: Charter Review – Definition of the product, its demands, attributes and its problemsMeasure: Process Mapping, C&E Review, identification of negative influences, Data Collection Plan & Hypothesis BuildingAnalyze: Graphical Analyses, Process Capability, Hypothesis testing (t-test, F-test, ANOVA, Correlation and Regression), Root Cause AnalysisImprove: Classical Solution Development; Solution Design: DOE, FMEAControl: Control Charts: I/MR, X-bar/S, p-Chart, Process Management Plan
Here you will find information on the aims of this course and its content.Here you will find information on dates, requirements and other general conditions for the certificate program.Get to know our experienced lecturers who will teach you the certificate content and with whom you will work.Find out how the program is structured and what content you can expect.
The “Lean Six Sigma Yellow Belt” course at the Technical University of Munich has clear objectives to provide students with enduring value:
| Program: | Lean Six Sigma Yellow Belt Certification |
| Graduation: | Technical University of Munich Lean Six Sigma Yellow Belt Certification |
| Academic responsibility: | Prof. Dr. Martin Grunow Prof. Dr. Holly Ott |
| Target audience: | – Professionals and executives of quality management from production and service companies. – Employees from all business areas and levels actively involved in quality systems and quality improvement. – Individuals preparing for a Lean Six Sigma Green Belt Exam. |
| Participation fees: | To receive the TUM Lean Six Sigma Yellow Belt Certification, it is mandatory that the participant passes and achieves a Verified Certificate in ALL THREE courses: – “Six Sigma: Define and Measure” (185 Euro), – “Six Sigma: Analyze, Improve, Control” (175 Euro), and – “Lean Production” (175 Euro) |
| Payment: | During application on the platform for a verified certificate |
| Language: | English |
| Dates: | For starting dates, please click the following link: https://www.edx.org/professional-certificate/six-sigma-lean-quantitative-tools |
| Study location: | Online, self-paced |
| Format & Timing: | Three consecutive edX courses: – Six Sigma: Define and Measure – Six Sigma: Analyze, Improve, Control – Lean Production Each course has a duration of 8 weeks (3-4 hours per week). For detailed information (starting dates etc.) please click the following link: https://www.edx.org/professional-certificate/six-sigma-lean-quantitative-tools |
| Registration Deadline: | There are no registration deadlines; enrollments are possible at any time of the year. |
| Access Requirements: | – Basic math skills. – Relevant hardware and software, stable access to the internet. – Additional requirements: Continuous participation in all three online courses with a passing grade and the required payment for the edX Verified Certificate of around 535 Euro (app. 575 USD). |
| Prof. Dr. Martin Grunow Professor of Production and Supply Chain Management, Technical University of Munich | Prof. Dr. Holly Ott Professor Production Management, Rosenheim Technical University of Applied Sciences Senior Lecturer, Technical University of Munich |
In the first course, we discuss the meaning of quality and introduce the five steps of the DMAIC process improvement flow used in Six Sigma: Define, Measure, Analyze, Improve and Control.
Learn how to identify the voice of the customer and define the goal of our improvement project, set targets for process yield and analyze the cost-benefit. Visualize our process flow and introduce the necessary statistical techniques to determine the baseline performance of our process and process capability.
Understand how to use statistical sampling for subsequent data collection and cover the basics of a measurement system analysis. In this first course, we will also review descriptive statistical techniques to clearly present our data to project teams.
Together we will analyze our collected data using inferential statistical and root cause analysis review techniques.
Perform correlation and regression analysis to confirm root cause and understand how we can improve our process and design experiments. We will implement statistical processes with control charts and learn to use quality management tools to reduce risk and control process deviations.
The third course is all about lean production. We look at the basic relationship between inventory, cycle time and low rate and analyze our process capacity. Calculate the impact of defects and rework on our process capacity. From a management perspective, we cover the main principles of the Toyota Production System, reviewing the complementary aspects of just-in-time manufacturing and quality management. We discuss the key requirements for lean manufacturing, including key metrics for operational and financial performance.
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