Eastman Business Institute is offering an open class on Lean Six Sigma for process improvement.
Learn more about our comprehensive methodology at the Eastman Business Institute here.
Lean Six Sigma is a powerful, data-driven methodology for process improvement that combines the waste-reduction principles of Lean with the defect-minimizing statistical tools of Six Sigma. This integrated approach enables organizations to systematically enhance efficiency, quality, and customer satisfaction.
What is Lean Six Sigma?
Lean Six Sigma is a methodology that aims to improve performance by systematically removing waste and reducing variation. It combines Lean manufacturing/Lean enterprise and Six Sigma to eliminate the eight kinds of waste (muda).
Key Principles
The core philosophy centers on delivering maximum value to the customer while minimizing resources, time, and cost. It relies on a collaborative team effort with a structured, phased approach known as DMAIC (Define, Measure, Analyze, Improve, Control) to solve problems.
Benefits of Implementation
Organizations that successfully implement Lean Six Sigma report significant benefits, including substantial cost reductions, improved process speed, and higher quality outputs. These improvements directly enhance customer loyalty and provide a stronger competitive advantage in the marketplace.
For a formal definition and further reading on this globally recognized methodology, you can refer to the Lean Six Sigma page on Wikipedia.
Who Should Attend?
This open class is designed for managers, team leaders, engineers, and any professional involved in process design, operations, or quality control who is seeking a proven framework for operational excellence.
What You Will Learn
Participants will gain a practical understanding of the DMAIC framework and learn to apply key tools to real-world scenarios. The curriculum is designed to provide immediately actionable skills for identifying inefficiencies and implementing sustainable solutions.
- Define project goals and customer deliverables.
- Measure current process performance with data.
- Analyze data to identify root causes of defects or waste.
- Improve the process by designing and testing solutions.
- Control the new process to sustain gains.