Six Sigma is a disciplined, data-driven methodology for eliminating defects in any process – from manufacturing to transactional and from product to service. The statistical representation of Six Sigma describes a process where 99.99966% of all opportunities to produce some feature of a part are statistically expected to be free of defects (3.4 defects per million opportunities).
Six Sigma Methodology
- Bill Smith
- Motorola
Six Sigma seeks to improve the quality of process outputs by identifying and removing the causes of defects and minimizing variability in manufacturing and business processes. It uses a set of quality management methods, mainly empirical, statistical methods, and creates a special infrastructure of people within the organization (e.g., ‘Champions’, ‘Black Belts’, ‘Green Belts’) who are experts in these methods. Each Six Sigma project carried out within an organization follows a defined sequence of steps and has specific value targets, for example: reduce process cycle time, reduce pollution, reduce costs, increase customer satisfaction, and increase profits.
The two main project methodologies used are DMAIC (Define, Measure, Analyze, Improve, Control), which is used for projects aimed at improving an existing business process, and DMADV (Define, Measure, Analyze, Design, Verify), used for projects aimed at creating new product or process designs. The core of the methodology is the rigorous application of statistical tools like contrôle statistique des processus (SPC), regression analysis, and design of experiments (DOE) to identify the root causes of variation and defects, and then to implement and sustain improvements.
Type
Disruption
Utilisation
Precursors
- total quality management (tqm)
- statistical contrôle de processus (spc) by walter shewhart
- the work of w. edwards deming and joseph m. juran
- taguchi methods for quality engineering
- quality circles movement
Applications
- defect reduction in semiconductor fabrication
- improving efficiency in financial services (e.g., loan processing)
- enhancing patient safety and reducing errors in hospitals
- optimizing logistics and supply chain management
- improving call center customer satisfaction rates
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Six Sigma Methodology
(if date is unknown or not relevant, e.g. "fluid mechanics", a rounded estimation of its notable emergence is provided)
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