Lean Six Sigma Yellow Belt: Quantitative Tools for Quality and Productivity
Offered By: Technische Universität München (Technical University of Munich) via edX
Course Description
Overview
Learn how to drive quality and productivity programs by mastering the powerful analytical and management tools of the Six Sigma methodology and the revolutionary concepts of Lean Management.
Six Sigma and Lean enable organizations to measure and analyze production processes, to eliminate waste and to evolve their management structures in order to motivate employees and improve quality and productivity.
The series of courses is provided in collaboration with the TUM School of Management Executive Education Center and the Chair of Production and Supply Chain Management.
In this Professional Certificate program, you will learn the fundamentals of the Six Sigma methodology and Lean Manufacturing. You will learn the DMAIC (Define, Measure, Analyze, Improve, Control) process improvement cycle and examine how the principles of Lean production improve quality and productivity and enable organizational transformation.
You will be challenged to learn both the quantitative and qualitative methods associated with Six Sigma and Lean, including:
- problem definition;
- baseline performance measurement and process capability;
- measurement system analysis;
- root cause analysis;
- regression and correlation;
- design of experiments;
- control charts implementation.
Both descriptive and inferential statistics will be applied and all concepts are exercised using online problems and interactive exercises and case studies.
A TUM Lean Six Sigma Yellow Belt Certificate will help you advance your career, increase your salary earnings and improve your organization through your mastery of quality skills.
Upon successful completion of this program, learners will earn the TUM Lean Six Sigma Yellow Belt certificate, confirming mastery of Lean Six Sigma theory to a Green Belt level. The Six Sigma material is based on the American Society for Quality Six Sigma Body of Knowledge up to a Green Belt level. The Lean Production course material is based on the TUM School of Management’s course in Lean Operations
The Professional Certificate program is designed as preparation for a Lean Six Sigma Green Belt Certification project. If you are interested in obtaining both the TUM Lean Six Sigma Yellow Belt and Green Belt certificates, please go to our Six Sigma: Green Belt Certification Project.
This TUM Lean Six Sigma Yellow and Green Belt Certification will help you advance your career, increase your salary earnings and improve your organisation through the mastery and application of productivity and quality skills.
NOTE: In order to achieve the TUM Lean Six Sigma Yellow Belt Certificate it is MANDATORY to complete all 3 courses mentioned below, pursuing all 3 Verified Certificates. Then, automatically, you will earn the Professional Certificate. Courses can be taken in any order, but since Six Sigma: Analyze, Improve, Control builds on the material learned in Six Sigma: Define and Measure, we recommend you to take Define and Measure first.
Syllabus
Course 1: Six Sigma: Define and Measure
An introduction to the Six Sigma methodology and the DMAIC cycle for process improvement with a focus on the Define and Measure phases, including basic statistics for understanding sampling plans and calculating process capability.
Course 2: Six Sigma: Analyze, Improve, Control
Learn how to statistically analyze process data to determine the root cause and propose solutions for process problems, to implement quality management tools, such as 8D and the 5 Whys, and to understand the concept of Design for Six Sigma (DFSS).
Course 3: Lean Production
Learn how to apply key elements of Lean Production, from minimizing inventory and reducing setup times, to using 5S and Kaizen, in order to improve quality and productivity in your workplace.
Courses
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Learn about Lean Management, a customer-centric methodology that improves processes by eliminating waste and focusing on value-added tasks.
This course will introduce the main tenets of the Toyota Production System, which includes Just-in-Time manufacturing, quality management tools, and the critical concept of Kaizen, the Japanese practice of continuous improvement. You will also learn about the key organization and managerial approaches that are used in Lean.
You will learn how to analyze process flows in order to establish process capacity and identify the process bottleneck. You will then calculate resource utilization and cycle time to evaluate the impact of set up times, batching, defects and reworks on key process performance measures, including inventory, flow rate and flow time.
We will also discuss the impact of key concepts of Lean, including Heijunka, Kanban, Jidoka, Andon, Poka Yoke, and 5S, which help achieve increased productivity and quality.
Upon successful completion of this program, learners will earn the TUM Lean and Six Sigma Yellow Belt certification, confirming mastery of Lean Six Sigma fundamentals to a Green Belt level. The material is based on the American Society for Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.
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In this first course of the Six Sigma Program, you will understand the background and meaning of Six Sigma and the five steps of the DMAIC process improvement flow: Define, Measure, Analyze, Improve, and Control. Discuss what "Quality" means and how to identify the Voice of the Customer.
You will learn how to set an improvement project goal, calculate process yield, and identify Critical-to-Quality parameters.
You will learn how to map a process and to use the necessary statistical techniques to establish the baseline performance of a process and to calculate the process capability.
To complement the lectures, we provide interactive exercises, which allow learners to see the statistics "in action." Learners then master the statistical concepts by completing practice problems. These are then reinforced using interactive case studies, which illustrate the application of the statistics in quality improvement situations.
Upon successful completion of this program, learners will earn the TUM Lean and Six Sigma Yellow Belt certification, confirming mastery of Lean Six Sigma fundamentals to a Green Belt level. The material is based on the American Society for Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.
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Building on the concepts from the first course in the Six Sigma Program, Define and Measure, in this course, you will learn how to statistically analyze data with the Six Sigma methodology using inferential statistical techniques to determine confidence intervals and to test hypotheses based on sample data. You will also review cause and effect techniques for root cause analysis.
You will learn how to perform correlation and regression analyses in order to confirm the root cause and understand how to improve your process and plan designed experiments.
You will learn how to implement statistical process control using control charts and quality management tools, including the 8 Disciplines and the 5 Whys to reduce risk and manage process deviations.
To complement the lectures, learners are provided with interactive exercises, which allow learners to see the statistics "in action." Learners then master statistical concepts by completing practice problems. These are then reinforced using interactive case studies, which illustrate the application of the statistics in quality improvement situations.
Upon successful completion of this program, learners will earn the TUM Lean and Six Sigma Yellow Belt certification, confirming mastery of Lean Six Sigma fundamentals to a Green Belt level. The material is based on the American Society for Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.
Taught by
Martin Grunow and Holly Ott
Tags
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