Process / pipelineEngineering methods

Optimization-Assisted Quality Function Deployment

Optimization-assisted QFD extends the classic House of Quality framework by embedding mathematical optimization — linear programming, multi-objective optimization, or metaheuristics — directly into the QFD process. This allows engineers to simultaneously maximize customer satisfaction and minimize cost or resource constraints when setting target values for engineering characteristics, going beyond the largely subjective priority rankings of traditional QFD.

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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. Lai, X., Xie, M., & Tan, K. C. (2004). Optimizing product design using the Kano model and QFD. Engineering Management Conference, 2004 IEEE International, 1085-1089. link

Related methods

ScholarGateOptimization-assisted quality function deployment (Optimization-Assisted Quality Function Deployment). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/optimization-assisted-quality-function-deployment