Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Quality Function Deployment× | Desenho de Experimentos× | |
|---|---|---|
| Área | Delineamento experimental | Delineamento experimental |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1966 (Japan); popularised in the West ~1988 | 1935 |
| Autor original≠ | Yoji Akao | Ronald A. Fisher |
| Tipo≠ | Structured quality planning and product design method | Experimental planning framework |
| Fonte seminal≠ | Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Outros nomes | QFD, House of Quality, customer-driven engineering, voice of the customer matrix | DOE, experimental design, factorial experimentation, planned experimentation |
| Relacionados≠ | 4 | 3 |
| Resumo≠ | 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. | Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences. |
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