Lean Six Sigma Yellow Belt Certification
Language: | Englisch |
Location: | Remote |
Start: | variable, self-paced |
Cost: | 535 € |
Apply now and learn more about quantitative tools for quality and productivity!
The TUM Institute of LifeLong Learning is offering the TUM Lean Six Sigma Yellow Belt Certification in cooperation with the TUM School of Management upon the successful completion of the edX Professional Certificate Program:
Six Sigma and Lean: Quantitative Tools for Quality and Productivity
This Professional Certificate is endorsed by Infineon Technologies and covers the fundamentals of the Six Sigma methodology and Lean Production for quality and productivity improvement, following the DMAIC (Define, Measure, Analyze, Improve, Control) process improvement cycle and examining how the principles of Lean production improve quality and productivity and enable organizational transformation. The material is based on the American Society for Quality Body of Knowledge up to a Green Belt Level. The course is designed as preparation for taking a Green Belt exam.
The edX Professional Certificate consists of three courses:
Six Sigma
Six Sigma: Analyze, Improve, Control
Lean Production
Each course is offered separately via edX.
Upon completion of all three courses, you will receive the Lean Six Sigma Yellow Belt certificate from the Technical University of Munich.
The Six-Sigma Concept:
- Define: Charter Review – Definition of the product, its demands, attributes and its problems
- Measure: Process Mapping, C&E Review, identification of negative influences, Data Collection Plan & Hypothesis Building
- Analyze: Graphical Analyses, Process Capability, Hypothesis testing (t-test, F-test, ANOVA, Correlation and Regression), Root Cause Analysis
- Improve: Classical Solution Development; Solution Design: DOE, FMEA
- Control: Control Charts: I/MR, X-bar/S, p-Chart, Process Management Plan
Quick Info
Benefits
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Sustainable Success
The use of Six Sigma creates the basis for continuous innovation and change in the organization in order to achieve sustainable corporate success.
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Facts Instead of Assumptions
Six Sigma provides you with the statistical tools to optimally describe, measure, analyze, improve and monitor business processes.
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TUM Yellow Belt Excellence:
Secure the prestigious TUM Lean Six Sigma Yellow Belt Certificate. Master precise tools for quality and productivity and shape your career with global leadership skills.
Program Overview
Aims of the certificate course
The “Lean Six Sigma Yellow Belt” course at the Technical University of Munich has clear objectives to provide students with enduring value:
- Mastery of Methods: Master DMAIC principles and Lean Production to solve complex business problems.
- Global Leadership: Develop global leadership skills, enabling success in diverse business environments.
- Future-Oriented Career: Prepare for a career grounded in advanced quality and productivity.
- Practical Application: Apply acquired knowledge in real business scenarios to effect transformative changes.
- Certification: Attain the esteemed TUM Lean Six Sigma Yellow Belt Certificate as recognition of your competencies.
Details
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). |
Lecturers
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 |
Structure
Course 1: Define and Measure
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.
Course 2: Six Sigma: Analyze, Improve, Control
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.
Course 3: Lean Production
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.
Your contact
Vesna Gajic
Program Manager
Phone: +49 89 289 28474
E-Mail: sixsigma@lll.tum.de