Response Surface Methodology: Case Studies and Applications

Varghese, Eldho and Hemavathi, M and Jaggi, Seema (2023) Response Surface Methodology: Case Studies and Applications. In: Training Manual on Statistical Designs and Analytical Methods for Multifactor Experiments. ICAR- Central Marine Fisheries Research Institute, Kochi, pp. 156-166.

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Abstract

In any product and process optimization, the use of the traditional OFAT approach examines only one parameter at a time while keeping other parameter constant and does not estimate interaction which results in inadequate optimization. On the other hand, however, factorial designs allow us to identify both the significant factor and important interactions among the factors in fewer test than OFAT, it fails to predict the best factor level settings to meet the desired goal (minimum/maximum/desired responses) in the experimental region. The limitations of classical method are eliminated by optimizing all the affecting variables collectively using response surface methodology (RSM) introduced by Box and Wilson (1951). Response Surface Methodology (RSM) is used to examine the functional relationship between one or more response variables and a set of experimental variables or factors. These methods are often employed after one has identified a “vital few” controllable factors and the factor settings that optimize the response are to be found. Designs of this type are usually chosen when a curvature in the response surface is suspected.

Item Type:	Book Section
Uncontrolled Keywords:	Methodology; Case Study; Application
Subjects:	Statistical Designs
Divisions:	CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division
Depositing User:	Arun Surendran
Date Deposited:	14 Sep 2023 05:05
Last Modified:	14 Sep 2023 05:05
URI:	http://eprints.cmfri.org.in/id/eprint/17454

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