"Sigma" is a statistical term used to describe the deviation from perfection of a specific process. "Six Sigma" by itself simply means that a given process should not produce more than 3.4 defects per million opportunities. Although the Six Sigma methodology for industrial application has only been publicized in recent times, its statistical basis is as old as the study of statistics.
Using Six Sigma The premise behind Six Sigma implementation is that if one could measure the number of defects in a given process, then the defects could be systematically eliminated. Although this seems straightforward, the DFSS and DMAIC methodologies used in industry can only be utilized with the proper information gathering tools. Without an automated system which quickly and easily recognizes and measures defects, making a control chart or Pareto diagram to analyze a process would be impossible.
Tools for Six Sigma For manufactured products, manual batch testings can only achieve SPC or TQM standard levels and not Six Sigma. Alternatively, Intelligent Imaging solutions not only automate testing procedures but also serve as powerful tools in implementing quality throughout the life-cycle of a product. With years of experience in the fields of Machine Vision and Artificial Intelligence, it is no coincidence that semiconductor manufacturers to automobile component makers trust Neurotech to pass to them technologies relevant to achieving 21st century standards of quality.