ScholarGate
Asistent

Porovnať metódy

Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.

Quality Function Deployment×Plánovanie experimentov×
OdborPlánovanie experimentovPlánovanie experimentov
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1966 (Japan); popularised in the West ~19881935
TvorcaYoji AkaoRonald A. Fisher
TypStructured quality planning and product design methodExperimental planning framework
Pôvodný zdrojAkao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Ďalšie názvyQFD, House of Quality, customer-driven engineering, voice of the customer matrixDOE, experimental design, factorial experimentation, planned experimentation
Príbuzné43
ZhrnutieQuality 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.
ScholarGateDátová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Prejsť na hľadanie Stiahnuť snímky

ScholarGatePorovnať metódy: Quality Function Deployment · Design of experiments. Získané 2026-06-17 z https://scholargate.app/sk/compare