1994
DOI: 10.1016/0924-2244(94)90017-5
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Systematic experimental designs for product formula optimization

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Cited by 96 publications
(72 citation statements)
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“…Os métodos de otimização têm sido aplicados de maneira variada na indústria de processos químicos, térmicos e gerenciamento para redução de custos. [24][25][26] Em relação à obtenção de formulações ótimas, os delineamentos de mistura podem gerar várias respostas simultaneamente, o que pode dificultar a interpretação da melhor solução. 24,25 Porém, Derringer e Suich 26 sugeriram um método para determinar a melhor combinação de múltiplas respostas com restrições.…”
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“…Os métodos de otimização têm sido aplicados de maneira variada na indústria de processos químicos, térmicos e gerenciamento para redução de custos. [24][25][26] Em relação à obtenção de formulações ótimas, os delineamentos de mistura podem gerar várias respostas simultaneamente, o que pode dificultar a interpretação da melhor solução. 24,25 Porém, Derringer e Suich 26 sugeriram um método para determinar a melhor combinação de múltiplas respostas com restrições.…”
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“…In addition, CCDs are optimized designs for fitting quadratic models. The number of experimental points in the CCD is sufficient to test statistical validity of the fitted model and lack-of-fit of the model (Arteaga et al, 1994). The central point in CCD is replicated several times to estimate the error due to experimental or random variability.…”
Section: Methodology and Design Of Experimentsmentioning
confidence: 99%
“…Response surface methodology (RSM), an empirical modeling technique used to estimate the relationship between a set of controllable experimental factors and observed results (Lee, Song, & Hwang, 2003;Li, Bai, Cai, & Ouwang, 2002), is currently one of the most popular optimization technique in the field of food science because of its comprehensive theory, reasonably high efficiency and simplicity (Arteaga, Li-Chan, Vasquez-Arteaga, & Nakai, 1994). The most common experimental design used in RSM is the Central Composite Design (CCD) (Liu & Tzeng, 1998;Reddy, Mrudula, Ramesh, Reddy, & Seenayya, 2000) which has equal predictability in all directions from the center.…”
Section: Methodology and Design Of Experimentsmentioning
confidence: 99%
“…Response Surface Methodology (RSM), an empirical modeling technique used to estimate the relationship between a set of controllable experimental factors and observed results (Li et al 2002;Lee et al 2003), is currently one of the most popular optimization techniques in the field of food science because of its comprehensive theory, reasonably high efficiency and simplicity (Arteaga et al 1994). The most common experimental design used in RSM is the Central Composite Design (CCD) which has equal predictability in all directions from the center (Liu and Tzeng 1998;Reddy et al 2000).…”
Section: Experimental Design and Statistical Analysismentioning
confidence: 99%