Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Shewhart Charts× | Развертывание функции качества× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1924 (first use); 1931 (seminal book) | 1966 (Japan); popularised in the West ~1988 |
| Автор метода≠ | Walter A. Shewhart (Bell Labs) | Yoji Akao |
| Тип≠ | Statistical monitoring and control technique | Structured quality planning and product design method |
| Основополагающий источник≠ | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. link ↗ | Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416 |
| Другие названия | Shewhart chart, process-behavior chart, SPC chart, quality control chart | QFD, House of Quality, customer-driven engineering, voice of the customer matrix |
| Связанные≠ | 6 | 4 |
| Сводка≠ | 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. | Quality Function Deployment (QFD) is a structured method for translating customer needs — the voice of the customer — into specific technical requirements at every stage of product or service development. Originating in Japan in the 1960s, QFD uses a matrix-based tool called the House of Quality to make customer priorities visible, link them to engineering parameters, expose trade-offs, and maintain focus on what customers actually value throughout the design process. |
| ScholarGateНабор данных ↗ |
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