TY - JOUR
T1 - A hierarchical approach to optimizing descriptive analysis multiresponse experiments
AU - Fogliatto, Flavio S.
AU - Albin, Susan L.
AU - Tepper, Beverly J.
PY - 1999/12
Y1 - 1999/12
N2 - The design and improvement of products and processes often calls for experiments where several response variables are analyzed simultaneously. Frequently, some of these variables are sensory attributes that can only be measured subjectively, through sensory evaluation panels or using expert opinion. In this paper we apply a multiresponse optimization procedure presented in Fogliatto and Albin 1997, to optimize a military food product where 24 sensory attributes are evaluated through descriptive analysis techniques. Our objective is to select the best design and operating control factors considering all attributes simultaneously.
AB - The design and improvement of products and processes often calls for experiments where several response variables are analyzed simultaneously. Frequently, some of these variables are sensory attributes that can only be measured subjectively, through sensory evaluation panels or using expert opinion. In this paper we apply a multiresponse optimization procedure presented in Fogliatto and Albin 1997, to optimize a military food product where 24 sensory attributes are evaluated through descriptive analysis techniques. Our objective is to select the best design and operating control factors considering all attributes simultaneously.
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U2 - 10.1111/j.1745-459X.1999.tb00127.x
DO - 10.1111/j.1745-459X.1999.tb00127.x
M3 - Article
AN - SCOPUS:0033274150
SN - 0887-8250
VL - 14
SP - 443
EP - 465
JO - Journal of Sensory Studies
JF - Journal of Sensory Studies
IS - 4
ER -