Description:

Lean Six Sigma (LSS), the combined methodologies and principles of “Lean” and “Six Sigma,” is a management approach for process improvement and problem solving. The Lean Six Sigma Green Belt Training Materials are a comprehensive curriculum covering everything within the Lean Six Sigma D-M-A-I-C body of knowledge required to successfully prepare students to achieve Green Belt certifications and performance standards. This course extends over a five-day period and is formatted using the LSS D-M-A-I-C approach in such a way that the problem-solving strategy is demonstrated throughout the course:

• Define - the business opportunity
• Measure - the process current state
• Analyze - determine Root Cause or Y= f (x)
• Improve - eliminate waste and variation
• Control - sustain the results

By utilizing various Statistical and Business Improvement tools, participants and instructors can clearly see and communicate the flow and process of the methodology in order to instill both the tactical and strategic aspects of the LSS Green Belt skill set. NO CERTIFICATION EXAMS are included with this course. For more information on IASSC Certification, please visit: http://www.iassc.org/six-sigma-certification/

Outline:

Define Phase:

• Describe the objectives of Lean Six Sigma and fundamental tools to be used
• Recognize Lean Six Sigma concepts and the implementation model
• Describe various roles and responsibilities in Lean Six Sigma
• Describe the basic Lean Six Sigma metrics (i.e., FTY, RTY, DPU, DPMO, etc.)
• Identify a process to improve then develop a specific Lean Six Sigma project
• Explore how to determine exactly what the business problem is and learn how to estimate the impact to the business
• Identify the process defect that is creating waste for the business and ways to eliminate the wastes

Measure:

• Define, explore, and classify “X” variables to the business “problem” using a variety of tools (i.e., detailed process mapping, Fishbone diagrams, X-Y Matrixes, FMEA, etc.)
• Explore various process discovery tools and describe why each tool is important
• Acquire a working knowledge of basic statistics to use as a communication tool and a basis for inference
• Perform various types of Measurement System Analysis (MSA) on output variables
• Recognize the differences between Stability, Reliability, Reproducibility, Accuracy, and Calibration in processes
• Estimate capabilities of data sets collected and describe its impact on processes

Analyze:

• Locate the variables significantly impacting the company’s Primary Metric (business problem)
• Interpret data collected in the Measurement phase
• Explain graphing tools used to analyze data
• Establish root causes for “X” variables using Inferential Statistics
• Articulate the purpose and different types of Hypothesis Testing
• Properly analyze results

Improve:

• Determine the optimal levels of the variables which are significantly impacting the company’s Primary Metric
• Perform the steps in a Correlation, Regression Analysis, and Multiple Linear Regression Analysis (MLR) of data
• Determine the reason for experimenting
• Describe the differences between Design of Experiment models
• Demonstrate a working knowledge of modeling as a means of process optimization

Control:

• Revisit Lean tools to understand how these tools can help with project sustainability
• Evaluate some methods of defect prevention
• Describe the elements of a Statistical Process Control (SPC) Chart and the purposes of SPC
• Understand the Control Chart selection methodology and parameter calculations (i.e., UCL, LCL, and the Center Line)
• Understand how to implement the 5 phases of the Control Plan