Comparar métodos

	Metodología de Superficie de Respuesta Multi-respuesta	Despliegue de la Función de Calidad
Campo	Diseño experimental	Diseño experimental
Familia	Process / pipeline	Process / pipeline
Año de origen	1980 (Derringer & Suich desirability function); RSM roots ~1951 (Box & Wilson)	1966 (Japan); popularised in the West ~1988
Autor original	Derringer & Suich (desirability function approach); Myers & Montgomery (RSM framework)	Yoji Akao
Tipo	Experimental optimization technique	Structured quality planning and product design method
Fuente seminal	Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214–219.	Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416
Alias	Multi-response RSM, MRSM, Multi-objective RSM, Multiple response optimization	QFD, House of Quality, customer-driven engineering, voice of the customer matrix
Relacionados	6	4
Resumen	Multi-response Response Surface Methodology (MRSM) extends classical RSM to situations where an experiment generates two or more response variables that must be optimized simultaneously. Rather than tuning factor settings for a single output, MRSM fits a separate second-order polynomial model for each response, then combines them — most commonly via Derringer and Suich's desirability function — to find factor settings that satisfy all objectives at once.	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.