Overview/Description Six Sigma deployments demand major investments of time, effort, and money on behalf of an organization. Organizations need to exercise due diligence to determine if Six Sigma is the appropriate approach to employ, or if a less demanding quality and process improvement approach is better suited to meeting their needs. Success of these improvement projects largely depends upon the Six Sigma teams that understand the project goals. Six Sigma Black Belts lead these teams and must have the qualities and qualifications required to deliver the expected results. This course...

Overview/Description Six Sigma offers many techniques and strategies to improve an organization's processes. This course covers the strategic and tactical special design tools that can be utilized as a Six Sigma team designs products, processes, or services. Strategic special design tools like Porter's five forces model, portfolio architecting, and set-based design can be used to achieve breakthroughs in design problems that seem unsolvable. Tactical special design tools such as the Theory of Inventive Problem Solving (TRIZ), systematic design, critical parameter management, and Pugh analysis...

Overview/Description In the final stages of the Six Sigma DMAIC methodology, once process improvement opportunities are identified and implemented, you need to make sure that the improved processes are controlled to sustain the process improvement gains. Statistical process control (SPC) provides tools which can be used to ensure that the processes are continuously monitored, that results are evaluated through the use of various control charts, and that each process is prevented from reverting to its previous state. The goal of this stage is also to develop a control plan to document and hold...

Overview/Description Six Sigma teams use measures of central tendency and dispersion to reveal key facts about process data and the existing processes. They summarize data and put forth the relationships between various data components for further analysis. The teams then present these relationships in easy-to-understand graphical forms that facilitate comparison and help to identify possible trends. This course deals with the basic concepts of descriptive statistics, such as measures of central tendency and dispersion, and their significance in Six Sigma data analysis. The course also shows...