METHODOLOGIES OF SIX SIGMA

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METHODOLOGIES OF SIX SIGMA

The projects having large impact of customer satisfaction and significant impact on bottom-line are selected. Top management of the organization has very important role during selection of projects and leaders.


The projects are clearly defined in terms of expected key deliverables. These are typically in terms of DPMO levels or sigma quality levels, RTY, Quality Cost etc. In the overall approach, the actual problem is converted in to a statistical problem.


Mapping the process does this, defining key process input variables (KPIVs or 'x's) and key process output variables (KPOVs or 'y 's). The power of statistical tools is used to determine a statistical solution. This is then converted in to a practical solution.



Six-Sigma has following methodologies:
1. DMAIC: Define, Measure, Analyze, Improve and Control

2. DMADV: Define, Measure, Analyze, Design and Verify

3. DFSS: Design for six sigma by IDOV- Identify, design, optimize and validate

4. BPMS: Business process management systems, nine-step process

 

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Six Sigma employs techniques designed to increase process effectiveness and reduce errors. These methodologies include DMADV (Define, Measure, Analyze, Design, Verify), which focuses on creating new processes with few defects, DFSS (Design for Six Sigma), which emphasizes proactive design strategies, and DMAIC (Define, Measure, Analyze, Improve, Control), which offers a methodical approach for process enhancement. Six Sigma approaches, which are based on statistical analysis and data-driven decision-making, aim to identify and eliminate variances to provide consistent, high-quality outputs. The application of these methodologies enables organizations to streamline operations, boost customer satisfaction, and attain optimal performance levels.