ASQ Approved Lean Six Sigma Green Belt

Overview:

Introduction:

The Six Sigma methodology is a systematic application, focused on achieving significant financial results and increasing customer satisfaction. When properly deployed on carefully selected business projects, this methodology can lead to a significant reduction, and in many cases elimination, of defects, process waste and out-of-control processes which translate into dramatic business gains.

Various exercises and a full case study will be used to direct and illustrate the implementation of a project. Learned skills are practiced and applied through individual and team exercises as well as individual projects. Participants will be able to apply the concepts learned in the course to a business improvement project assigned to them by their management sponsor. Games and discussions will be used to enrich course delivery.

Course Objectives:

At the end of this course the participants will be able to:

• Develop the Six Sigma methodology and apply its roadmap.
• Apply the principles of the Six Sigma 'DMAIC' performance improvement model.
• Examine in detail the various elements of building a complete project for improvement.
• Develop statistical hypotheses using simple statistical tools.
• Use quantifiable tools to solve problems related to an improvement project.
• Eliminate waste and defects by applying Lean and Six Sigma.
• Collect, analyze, and quantify data that enable process improvements.
• Employ statistical analysis using statistical tools and software.

Targeted Audience:

Individuals from all organization departments including finance, quality and business operations staff functions as well as those who have direct intervention as process owners or stakeholders.

Course Outlines:

Unit 1: Six Sigma Overview:

• History and origins.
• Why Six Sigma?.
• Cost of poor quality.
• Project details.

Unit 2: Define phase: Tools and Methods:

• Charter the improvement project.
• Define the scope.
• Six Sigma project. definition.
• Project selection process.
• Voice of Customer (VOC) and Critical to Quality (CTQ).
• Kano model analysis.
• Team development phases.
• Communication plan.
• Project planning and management.

Unit 3: Measure Phase: Introduction and Tools:

• Types of data.
• Computing 'DPMO' and sigma levels.
• Process mapping..
• 'FMEAs' and cause and effect.
• Graphical analysis.
• Analysis of Variance (ANOVA) and multi-plot diagrams.
• Chi-square analysis.
• Histograms.
• Measurement systems analysis: gauge R&R.
• Sampling techniques.
• Introduction to Minitab and 'QIMacro' software

Unit 4: Analyze Phase: Introduction and Tools:

• Probability and basic statistics.
• Control charts and stability.
• Data normality.
• Process capability, 'Cp', and 'CpK'.

Unit 5: Improve Phase: Introduction and Tools:

• Piloting and implementation.
• Introduction to lean enterprise.
• Types of waste.
• Lean tools.
• '5S' program.
• Value stream mapping.
• Lean and Kaizen.

Unit 6: Control Phase: Introduction and Tools:

• Statistical process control.
• Standardization and documentation.
• Control plans.
• Mistake proofing.

Unit 7: Green Belt Project and Tollgate Review:

• Project charter submission.
• Tollgate questions.
• Tips and tricks to get your project started.