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Six Sigma Methodology

Six Sigma is a data-driven methodology aimed at improving processes by reducing defects and variability. It uses statistical tools and techniques to identify and eliminate causes of errors, enhancing quality and efficiency. Six Sigma follows a structured approach, typically through the DMAIC framework: Define the problem, Measure current performance, Analyze the data, Improve the process, and Control the outcomes. Companies adopt Six Sigma to achieve greater customer satisfaction and reduce costs by ensuring that processes consistently meet quality standards. Ultimately, it strives for near perfection in operational performance, aiming for no more than 3.4 defects per million opportunities.

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    Six Sigma is a methodology aimed at improving processes by identifying and eliminating defects to enhance quality and efficiency. It uses a data-driven approach, focusing on both process improvement and variation reduction. The term "six sigma" refers to a statistical goal where processes achieve fewer than 3.4 defects per million opportunities. Six Sigma employs a structured framework, often represented by the DMAIC cycle: Define, Measure, Analyze, Improve, and Control. This approach helps organizations streamline operations, reduce costs, and increase customer satisfaction through continuous improvement and a commitment to data-based decision-making.