Six Sigma means a quality measure that aims for perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects in any process, from manufacturing to transaction and from product to service. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original EssayThe foundations of Six Sigma as an estimating standard can be traced back to Carl Friedrich Gauss (1777-1855) who introduced the concept of curve normality. Six Sigma as an estimation standard in the variety of elements can be followed until the 1920s, when Walter Shewhart demonstrated that three sigma from the mean is the point at which a process requires correction. Many estimating principles (Cpk, Zero Imperfections, etc.) came onto the scene later, however, credit for coining the phrase “Six Sigma” goes to a Motorola engineer named Bill Smith. Bill Smith, together with Mikel Harry, had written and codified a research report on the new quality management system that emphasized the interdependence between a product's performance in the marketplace and the adjustments required at the point of production. The report clearly indicated that the fewer nonconformities at each stage of production, the better the performance. This report was nothing less than a revolution because it paved the way for the implementation of “logical filters” as a key tool for solving problems. Bob Galvin, the then CEO of Motorola, became a leader in this system, and with his help, later this four-stage logic filter became the skeleton of today's Six Sigma. The four phases were known as Measure, Analyze, Improve and Control. The goal of the Six Sigma methodology is the implementation of a measurement-based strategy that focuses on process improvement and reduction of variation with the application of Six Sigma improvement projects. This is achieved with the use of two Six Sigma sub-methodologies: DMAIC: The DMAIC (acronym for Define, Measure, Analyse, Improve and Control) project methodology involves five phases. Define the system, the voice of the customer and their needs, and the project objectives in particular. Measure key aspects of the current process and collect relevant data. Analyze data to investigate and verify cause-effect relationships. Determine what the relationships are and attempt to ensure that all factors have been taken into account. Improving or optimizing the current process depends on data analysis using techniques such as design of experiments, poka yoke or error correction, and standard work to create a new, future state process. Monitor the future state process to ensure that any deviations from the objective are corrected before they result in defects. Implement control systems such as statistical process control, production sheets, visual workplaces 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”) involves five phases:Define design objectives consistent with customer requirements and strategy company.Measure and identify CTQs (critical quality characteristics), measure product capabilities, manufacturing process capability and measure risks. Analyze to develop and design alternatives. Design an improved alternative, more suitable for analysis in the previous phase. Verify the project, set up the pilot, implement the production process and deliver it to the process owners. It is customer oriented. It addresses the entire process behind producing an item or the.