Introduction
Six Sigma is a data-driven methodology aimed at eliminating defects and reducing variability in processes.
It seeks to improve the quality of process outputs by identifying and removing causes of defects.
Core Concepts of Six Sigma
DMAIC Methodology
Define: Identify the problem and project goals.
Measure: Collect data and determine current performance.
Analyze: Identify root causes of defects.
Improve: Implement solutions to eliminate root causes.
Control: Maintain improvements over time.
Statistical Tools
Uses statistical analysis to understand process variability.
Tools include control charts, process capability analysis, and regression analysis.
Sigma Level
Measures how much a process deviates from perfection.
Six Sigma equates to 3.4 defects per million opportunities.
Roles in Six Sigma
Executive Leadership: Sets the vision and goals.
Champions: Translate goals into specific projects.
Master Black Belts: Coaches for Black Belts and Green Belts.
Black Belts: Lead problem-solving projects.
Green Belts: Assist with data collection and analysis.
Benefits of Six Sigma
Reduction in process variation and defects.
Increased efficiency and productivity.
Improved customer satisfaction.
Enhanced profitability and competitiveness.
Application in Pharmaceuticals
Optimizing manufacturing processes.
Reducing errors in quality control.
Enhancing compliance with regulatory standards.
