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A Response Surface Methodology for Modeling Time Series Response Data

Quality and Reliability Engineering International, 2012
This article introduces extensions to classical response surface methods specifically for modeling and exploiting time series response data such as found in aircraft flight test. Classical response surface methods focus on the analysis of discrete response data. In some complex, nonlinear systems, analysts are concerned with the behavior of time series
Scott M. Storm   +2 more
openaire   +1 more source

Optimization of mead production using Response Surface Methodology

Food and Chemical Toxicology, 2013
The main aim of the present work was to optimize mead production using Response Surface Methodology. The effects of temperature (x₁: 20-30°C) and nutrients concentration (x₂: 60-120g /hL) on mead quality, concerning the final concentrations of glucose (Y₁), fructose (Y₂), ethanol (Y₃), glycerol (Y₄) and acetic acid (Y₅), were studied.
Gomes, Teresa   +6 more
openaire   +3 more sources

On the use of data transformation in response surface methodology

Quality and Reliability Engineering International, 2018
AbstractOne of the main objectives of response surface methodology is to find the operating settings that optimize the mean function. When estimating the optimum settings, it is highly important to take the response variance into account. Data transformations are frequently used to eliminate variance heterogeneity.
openaire   +1 more source

Response Surface Methodology

Technometrics, 1973
A. R. Manson, Raymond H. Myers
openaire   +2 more sources

Response surface methodology for constrained simulation optimization: An overview

Simulation Modelling Practice and Theory, 2008
Abstract This article summarizes ‘generalized response surface methodology’ (GRSM), extending Box and Wilson’s ‘response surface methodology’ (RSM). GRSM allows multiple random responses, selecting one response as goal and the other responses as constrained variables. Both GRSM and RSM estimate local gradients to search for the optimum.
openaire   +3 more sources

Optimization of process parameters using response surface methodology: A review

Materials Today: Proceedings, 2021
Samson Jerold Samuel Chelladurai   +1 more
exaly  

Recent trends on numerical investigations of response surface methodology for pollutants adsorption onto activated carbon materials: A review

Critical Reviews in Environmental Science and Technology, 2020
Abdallah Amedlous   +2 more
exaly  

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