ScholarGate
Asistente

Comparar métodos

Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.

Despliegue de la Función de Calidad Híbrido×Despliegue de la Función de Calidad×
CampoDiseño experimentalDiseño experimental
FamiliaProcess / pipelineProcess / pipeline
Año de origen1966 (QFD foundation); hybrid variants from mid-1990s onward1966 (Japan); popularised in the West ~1988
Autor originalYoji Akao (QFD foundation); hybrid extensions by various authors integrating fuzzy sets, AHP, TOPSIS, and optimizationYoji Akao
TipoIntegrated engineering design and decision methodStructured quality planning and product design method
Fuente seminalAkao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416
AliasHybrid QFD, Integrated QFD, QFD hybrid approach, Extended Quality Function DeploymentQFD, House of Quality, customer-driven engineering, voice of the customer matrix
Relacionados44
ResumenHybrid Quality Function Deployment (Hybrid QFD) extends the classic House of Quality framework by embedding additional analytical techniques — such as fuzzy set theory, Analytic Hierarchy Process, TOPSIS, or optimization algorithms — directly into the QFD pipeline. This integration addresses known weaknesses of standard QFD, such as imprecision in customer ratings and subjectivity in relationship matrices, while preserving the method's core strength: systematically translating the voice of the customer into actionable engineering specifications.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.
ScholarGateConjunto de datos
  1. v1
  2. 2 Fuentes
  3. PUBLISHED
  1. v1
  2. 2 Fuentes
  3. PUBLISHED

Ir a la búsqueda Descargar diapositivas

ScholarGateComparar métodos: Hybrid Quality Function Deployment · Quality Function Deployment. Recuperado el 2026-06-15 de https://scholargate.app/es/compare