In all the discussion and debate about what Six Sigma means, one thing remains clear: Six Sigma is a broad subject. It is daunting for us trainers to try and produce experts called Black Belts (BBs). We want them to understand lean, statistical process control (SPC), gage repeatability and reproducibility (GR&R), design of experiments (DOE) and multiple regression, but we also want them to become change agents who can break down barriers, work well in a leadership role, save the company millions of dollars and display soft skills. To make our BBs really effective, we must find a way to link these subjects together into one intuitive skill set. For example, BBs know SPC is based on various statistical distributions, but do they know how control charts relate to hypothesis testing? Do they understand how these distributions relate to Genichi Taguchi's loss function? And what do statistical distributions have to do with the y-hat or s-hat model in a multiple regression derived from a DOE? I am not talking about teaching nonvalue added details. I am talking about making strong intuitive connections.
展开▼
