Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Vadības diagramma× | Six Sigma DMAIC× | |
|---|---|---|
| Nozare≠ | Eksperimentu plānošana | Kvalitātes vadība |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1924 (first use); 1931 (seminal book) | 2014 |
| Autors≠ | Walter A. Shewhart (Bell Labs) | Motorola; Pyzdek & Keller |
| Tips≠ | Statistical monitoring and control technique | Structured process improvement methodology |
| Pirmavots≠ | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. link ↗ | Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9 |
| Citi nosaukumi | Shewhart chart, process-behavior chart, SPC chart, quality control chart | DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC |
| Saistītās≠ | 6 | 3 |
| Kopsavilkums≠ | A control chart is a time-series graph with statistically derived upper and lower control limits that separates the natural, random variation of a process (common cause) from unusual, assignable variation (special cause). Invented by Walter Shewhart at Bell Labs in 1924, control charts remain the foundational tool of Statistical Process Control and are used across manufacturing, healthcare, software, and service industries to monitor whether a process remains stable and predictable over time. | 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. |
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