विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| सिक्स सिग्मा डीएमएआईसी× | शेवर्ट वेरिएबल्स कंट्रोल चार्ट (X-बार / R)× | |
|---|---|---|
| क्षेत्र≠ | गुणवत्ता प्रबंधन | सांख्यिकी |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 2014 | 1931 |
| प्रवर्तक≠ | Motorola; Pyzdek & Keller | Walter A. Shewhart |
| प्रकार≠ | Structured process improvement methodology | Statistical process control chart for variables |
| मौलिक स्रोत≠ | Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9 | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. D. Van Nostrand Company. ISBN: 978-0-87389-076-2 |
| उपनाम≠ | DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC | X-bar and R chart, Shewhart chart, variables control chart, process control chart |
| संबंधित≠ | 3 | 4 |
| सारांश≠ | Six Sigma DMAIC is a data-driven, five-phase process improvement methodology — Define, Measure, Analyze, Improve, and Control — used to reduce defects and process variation to fewer than 3.4 defects per million opportunities. Originating at Motorola in the 1980s and systematized by practitioners including Pyzdek and Keller, it is widely adopted in manufacturing, healthcare, finance, and service industries seeking sustained quality gains. | The Shewhart control chart, invented by Walter Shewhart at Bell Labs in the 1920s and set out in his 1931 book, is the foundational tool of statistical process control. It plots a process statistic — typically the subgroup mean (X-bar) and range (R) — over time against a center line and three-sigma control limits, distinguishing the natural common-cause variation inherent in a stable process from special-cause variation that signals something has changed and warrants investigation. |
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