This training is designed to give participants with little or no Six Sigma experience the skills they need for success in an IT environment. One of the critical elements of sustainability is a strong system of support and accountability within the participants' place of work. The FRCC team will work with the employer to define the goals, projects and in-house support structure if one doesn't already exist. The FRCC Six Sigma program incorporates learning, class discussion and interactive exercises, project work, coaching, and individualized toll-gate meetings.
Crafted with the Six Sigma Green-Belt team member in mind—the student is taken through a six sigma journey from introduction to what “six sigma” means, the D-M-A-I-C process improvement methodology, and the typical roles and support systems set up in a Six Sigma deployment. Of particular importance at the Yellow Belt level is to keep participants engaged. To that end, a minimum amount of lecture, maximum amount of examples and exercises are employed in this course. Upon successful completion of this class the student will receive a Six Sigma Certificate of Completion at the Yellow Belt level.
This hands-on class will introduce the participant to the basics of the Six Sigma at the Green Belt (intermediate) level. The application will be limited to improving processes that already exist (not creating brand new processes) using the DMAIC methodology: Define, Measure, Analyze, Improve and Control. Upon completion of this course, together with the successful completion of a concurrent Green Belt project within the company, the student will be in position to receive their Six Sigma Green Belt certification.
The Six Sigma Black Belt course is a natural follow-on to the Green Belt course. This class will dive more deeply into statistical methods designed to address the more difficult task of delayering common-cause variation. As in the Green Belt course, applications will be limited to improving processes that already exist (not creating brand new processes) although the tools described actually work very nicely in process/product design applications as well. Approximately 50% of class-time will be spent on the subject of Designs of Experiments. General Linear Models in the form of ANOVA and several aspects of Multiple Regression will also be explored (with provision for special-topic add-ons: Simulation and Reliability). During the second half of the course, a capstone project will be completed in parallel with class lecture and exercises. Upon successful completion of this class together with a concurrent Black-Belt-level project, the student will be in position to receive their Six Sigma Black-Belt certification.
Wouldn’t it be nice if our designs worked right the first time, and that they are manufacturable, reliable, easily maintained and serviceable, good for the environment and at reasonable cost? These are the goals of the suite of best practices called Design for Six Sigma (DFSS) whose focus is to meet the customers’ requirements in a timely and cost-effective manner. DFSS may be applied to designs in any business or industry: manufacturing, services, financial, healthcare, research, etc.
This course assumes that the student is already familiar with both Lean and Six Sigma technology as DFSS combines the best of these process-improvements ideas to develop defect- and error-free results in an efficient and waste-minimized design process.