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Multi-response failure mode and effects analysis×Déploiement de la Qualité×
DomainePlans d'expériencesPlans d'expériences
FamilleProcess / pipelineProcess / pipeline
Année d'origine1990s–2000s1966 (Japan); popularised in the West ~1988
Auteur d'origineExtended from classical FMEA (MIL-P-1629, 1949; Ford Motor Company, 1970s); multi-response integration developed in quality engineering literature from the 1990s onwardYoji Akao
TypeRisk analysis and quality engineering methodStructured quality planning and product design method
Source fondatriceStamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416
AliasMR-FMEA, multi-response FMEA, multi-criteria FMEA, multi-objective FMEAQFD, House of Quality, customer-driven engineering, voice of the customer matrix
Apparentées64
RésuméMulti-response FMEA extends classical Failure Mode and Effects Analysis to systems or processes where each failure mode produces effects across multiple quality characteristics or response variables simultaneously. Rather than assigning a single Risk Priority Number (RPN), it evaluates severity, occurrence, and detectability for each response dimension, then integrates these ratings — often via multi-criteria scoring or weighted aggregation — to obtain a holistic risk ranking that captures the full consequence profile of each failure mode.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.
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ScholarGateComparer des méthodes: Multi-response failure mode and effects analysis · Quality Function Deployment. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare