Six Sigma is a set of techniques introduced by an engineer at Motorola in 1980. Removing causes of defects reduces number of defects in a process. Six Sigma is a statistical concept that has been applied in a manufacturing environment to explain statistical quality control, to determine process capability. Process outputs can be characterized into a bell curve, which can then be explained mathematically by standard deviation, measured in sigma. Six Sigma techniques can help identify root causes of defects through a 5 step process, called DMAIC (Define, Measure, Analyze, Improve, Control). Lean Six Sigma is a similar set of techniques that create somewhat less refined results in a much faster timeline through a 4 step process called PDCA (Plan, Do, Check, Act). Both techniques are useful and part of a greater toolbox of methodologies for consideration in Process Improvement applications. Contact us to learn more.