Six Sigma means a quality measure that strives for perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects in any process, from manufacturing to transactional and from product to service. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get an original essay The foundations of Six Sigma as an estimating standard can be traced back to Carl Friedrich Gauss (1777-1855) who presented the concept of normality. curve. Six Sigma as a standard for estimating item variety can be followed back to the 1920s, when Walter Shewhart showed that three sigma from the mean is the point where a process requires correction. Many estimating principles (Cpk, Zero Imperfections, etc.) appeared later, but credit for coining the phrase "Six Sigma" goes to a Motorola engineer named Bill Smith. Bill Smith, with Mikel Harry, had written and codified a research report on the new quality management system which emphasized the interdependence between a product's performance in the market and the adjustments required at the point of manufacturing. The report clearly states that the fewer non-conformities at each stage of production, the better the performance. This report was nothing short of a revolution as it paved the way for the implementation of “logic filters” as a key tool to solve problems. Bob Galvin, then CEO of Motorola, became a leader in this system, and with his help, this four-step logic filter later became the skeleton of today's Six Sigma. The four steps were known as Measure, Analyze, Improve and Control. The goal of Six Sigma methodology is the implementation of a measurement-based strategy that focuses on improving processes and reducing variation with the application of Six Sigma improvement projects. This is accomplished through the use of two Six Sigma sub-methodologies: DMAIC: The DMAIC (acronym for Define, Measure, Analyze, Improvement and Control) project methodology has five phases. Define the system, the voice of the customer and its requirements. , and the project objectives in particular. Measure key aspects of the current process and collect relevant data. Analyze data to study and verify cause and effect relationships. Determine what the relationships are and try to ensure all factors have been considered. Improving or optimizing the current process depends on data analysis using techniques such as design of experiments, poka yoke or error checking, as well as standard work to create a new future . state process. Monitor the future state process to ensure that any deviations from the target are corrected before they result in defects. Implement control systems such as statistical process control, production boards, visual workstations and continuously monitor the process. This process is repeated until the desired level of quality is achieved.DMADV: The DMADV project methodology, known as DFSS (“Design For Six Sigma”), has five phases: Define consistent design objectives with customer demands and company strategy. identify CTQs (essential quality characteristics), measure product capabilities, production process capability and measure risks. Analyze to develop and design alternatives. Design an improved alternative, better suited to the analysis in the previous step. Check the design, set up pilot tests, implement the production process.