Results 1 to 10 of about 1,694 (248)
A New Class of Second-Order Response Surface Designs
Response surface methodology (RSM) refers to experimental designs for optimizing or developing processes, initially in manufacturing. In this paper, a new method is presented and an algorithm is implemented that modifies the axial part in a central ...
Hleil Alrweili +2 more
doaj +3 more sources
New approaches on composite designs for Response Surface Methodology
Recent attention has increasingly focused on the significance of Definitive Screening Designs (DSDs), originally introduced by Jones and Nachtsheim (2011), as a compelling alternative to traditional designs bib Response Surface Methodology (RSM).
Despina E. Athanasaki +2 more
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Robustness of response surface designs to missing data [PDF]
AbstractIn this paper, minimax loss response surface designs are constructed. These designs are more robust to one missing design point than the original designs. The proposed designs are compared with the designs in the literature, and they are better in terms of loss and number of runs.
Hleil Alrweili +2 more
openaire +2 more sources
Staggered-Level Designs for Response Surface Modeling [PDF]
The authors investigate whether the benefits of the staggered-level design carry over to situations where the objective is to optimize a response and where a second-order response surface model is in place.
Arnouts, Heidi, Goos, Peter
openaire +5 more sources
Analysis of data from orthogonal minimally aliased response surface designs
Experimental data are often highly structured due to the use of experimental designs. This does not only simplify the analysis, but it allows for tailored methods of analysis that extract more information from the data than generic methods.
Mohammed Saif Ismail Hameed +2 more
semanticscholar +1 more source
Further considerations in A-optimal second-order response surface designs
Second-order design of experiments over hypercubic regions is under consideration for the set -up in which the experimenters’ main interest is in estimation of parameters corresponding to higher-order terms of the model.
Bashayer Y. AlKandari +2 more
doaj +1 more source
The control of pollutant discharges, during the treatment of wastewater from tanneries, is the main task to restore the ecological environment and minimize the time and cost.
G. Bouazza +3 more
semanticscholar +1 more source
Robustness of sequential third-order response surface design to missing observations
Response surface designs are generally used in process/product optimization studies. Sequential third-order response surface designs are advantageous when the experimenter encounters the significance of lack of fit of a fitted second-order model while ...
Hemavathi M. +6 more
doaj +1 more source
G-optimal designs are those which minimize the worst-case prediction variance. Thus, such designs are of interest if prediction is a primary component of the post-experiment analysis and decision making. G-optimal designs have not attained widespread use
Stephen J. Walsh, John J. Borkowski
doaj +1 more source
Practicing Response Surface Designs in Textile Engineering: Yarn Breaking Strength Exercise
Predicting properties of end product from known properties of raw material is an important part of quality control in manufacturing. Main concept in this research is to reach a specified property of end product from known properties of raw material by ...
N. Şengöz
semanticscholar +1 more source

