Who this course is for:

• Intermediate learners with a foundational understanding of Lean Six Sigma principles.
• Those who have completed the Define and Measure phases of Lean Six Sigma.
• Individuals familiar with basic statistical concepts.
• Professionals with some experience in process improvement projects.

What you’ll learn: 

• Understand the principles and significance of Design of Experiments (DOE) in process optimization.
• Learn to design various types of experiments, including full factorial and fractional factorial, based on project needs.
• Gain proficiency in conducting experiments to identify key process variables and interactions.
• Interpret DOE results using statistical analysis to make informed, data-driven decisions for process improvement.
• Apply DOE techniques to optimize processes and achieve desired outcomes efficiently.

Requirements: 

• Completion of the Define and Measure phases of Lean Six Sigma training or equivalent knowledge.
• Familiarity with basic statistical concepts such as hypothesis testing, control charts, and process capability analysis.
• Access to statistical software like Minitab or JMP is recommended but not mandatory, as practical examples and exercises are included in the course.

This course explores the application of Design of Experiments within the Analyze phase of the Lean Six Sigma methodology. Participants will learn how to effectively plan, execute, and analyze experiments to identify critical factors influencing process outcomes, ultimately optimizing performance.

Interested in learning how to overcome challenges and obstacles? My courses can help you develop the mindset and skills needed to succeed.

Our Promise to You

By the end of this course, you will have learned how to apply Lean Six Sigma Design Phase Of DMADV Project Design Of Experiments for process optimization.

10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

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