Response surface methodology and product optimization
1983
Giovanni, Maria
A description of response surface methodology (RSM) covers how it is used and some of its applications in product optimization. This methodology has evolved into a useful statistical system within the sensory evaluation field. RSM uses quantitative data from appropriate experimental designs to determine and simultaneously solve multivariate equations that can be graphically represented as response surfaces. These surfaces describe how the test variables affect the response, provide information on the interrelationships among the test variables, and describe the combined effect of all test variables on the response. Graphical representations of RSM are illustrated (e.g., for responses of liking salt vs. liking sugar in ham). This information aids product developers to understand ingredient interactions in the product which guide final product formulation and future cost and quality changes. (wz)
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