Process / pipelineEngineering methods

Risk-Based Quality Function Deployment

Risk-based quality function deployment (Risk-based QFD) integrates formal risk analysis — most commonly Failure Mode and Effects Analysis (FMEA) or risk matrices — into the classic QFD House of Quality framework. By weighting customer requirements and engineering characteristics against their associated failure risks, teams prioritise design and process decisions not only by customer importance but also by potential harm, regulatory exposure, or reliability impact. It is widely used in automotive, aerospace, medical device, and industrial product development.

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Sources

  1. Akao, Y. (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press, Cambridge, MA. ISBN: 978-0915299416
  2. Carnevalli, J. A., & Miguel, P. C. (2008). Review, analysis and classification of the literature on QFD — Types of research, difficulties and benefits. International Journal of Production Economics, 114(2), 737–754. DOI: 10.1016/j.ijpe.2008.03.006

Related methods

ScholarGateRisk-based quality function deployment (Risk-Based Quality Function Deployment). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/risk-based-quality-function-deployment