Audience and Purpose:
This course is designed for those individuals working directly on Six-Sigma projects serve
as Black Belts or Green Belts. It is assumed they come from a variety of backgrounds and
disciplines and will be working on a variety of projects across the company. Tools and
examples are in direct support of manufacturing and production operations.

Course Objectives:
Upon completion of the course the participants will be able to:

1. Design appropriate experiments for characterization, optimization and validation
   using JMP
2. Brainstorm breakthrough solution sets
3. Determine associated effectiveness, costs and complexity of solutions
4. Prioritize solutions
5. Determine solution risks and associated action plans
6. Validate the effectiveness of the solution
7. Implement short term and long term solutions
8. Validate improvements using key metrics

Detailed Course Outline:

Design and Analysis of Experiments
Introduction to DOE and robust design principles
Experimental preparation
Full factorial designs
Screening designs
Taguchi designs (optional)
Custom designs
Optimization designs
Mixture designs (optional)

Determine Breakthrough Solutions, Costs and Benefits
Creative problem solving for achieving breakthroughs
Brainstorm potential breakthrough solutions
Sort out long term versus short term solutions
Assign costs and benefits to each potential solution
Section III Assess Solution Risks
Failure modes and effect analysis
Risk assessment matrix
Minimize potential risks

Validate Solutions Using a Pilot
Plan the pilot, run the pilot and collect data
Summarize results of the pilot

Implement Solutions
Develop an implementation plan
Implement and monitor the solution

Measure Solution Effectiveness
Measuring improvement impact with project metrics
Linking improvements to financial performance and customer satisfaction

Rapid DOE using iGrafx
Experimenting with process variables
Evidence of improvement