Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization

In this review chapter, the authors presented a systematic exposition to the concept of Response Surface Methodology (RSM) for applications by Scientists, Engineers, Technologists and Industries. (RSM) is an empirical model which employs the use of mathematical and statistical techniques in relating...

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Autores principales: Lamidi, Sheriff, Olaleye, Nurudeen, Bankole, Yakub, Obalola, Aishat, Aribike, Emmanuella, Adigun, Idris
Formato: Capítulo de libro
Lenguaje:inglés
Publicado: IntechOpen 2022
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Acceso en línea:https://www.intechopen.com/chapters/83621
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author Lamidi, Sheriff
Olaleye, Nurudeen
Bankole, Yakub
Obalola, Aishat
Aribike, Emmanuella
Adigun, Idris
author_browse Adigun, Idris
Aribike, Emmanuella
Bankole, Yakub
Lamidi, Sheriff
Obalola, Aishat
Olaleye, Nurudeen
author_facet Lamidi, Sheriff
Olaleye, Nurudeen
Bankole, Yakub
Obalola, Aishat
Aribike, Emmanuella
Adigun, Idris
author_sort Lamidi, Sheriff
building IntechOpen
collection Acceso abierto
description In this review chapter, the authors presented a systematic exposition to the concept of Response Surface Methodology (RSM) for applications by Scientists, Engineers, Technologists and Industries. (RSM) is an empirical model which employs the use of mathematical and statistical techniques in relating input variables otherwise known as factors to the response. RSM became very useful due to the fact that other methods available such as the theoretical model could be very cumbersome to use, time-consuming, inefficient, error prone and unreliable. In order to draw meaningful conclusions and findings, an experiment is required. In an effort to obtain an objective conclusion (between the factors and the response), an experimenter needs to plan and design the experiments, and analyze the results. An approximation of the response in relation to the variables is otherwise known as RSM. This chapter reviews RSM concept for easy understanding and adoption by researchers. In section 2.0, the various terminologies used in RSM were defined. In section 3.0, RSM design types were highlighted and RSM research phases exposed in section 4.0. Section 8.0 gave some scenario applications of RSM in various fields and section 9.0 defined the RSM research cycle process. General applications and conclusions stated.
doi_str_mv 10.5772/intechopen.106763
first_indexed 2026-10-15T21:40:07Z
format Book Chapter
fullrecord <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>intech-83621</identifier><datestamp>2022-09-16</datestamp> <dc:title>Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization</dc:title> <dc:creator>Sheriff Lamidi</dc:creator> <dc:creator>Nurudeen Olaleye</dc:creator> <dc:creator>Yakub Bankole</dc:creator> <dc:creator>Aishat Obalola</dc:creator> <dc:creator>Emmanuella Aribike</dc:creator> <dc:creator>Idris Adigun</dc:creator> <dc:subject>Physical Sciences, Engineering and Technology</dc:subject> <dc:description>In this review chapter, the authors presented a systematic exposition to the concept of Response Surface Methodology (RSM) for applications by Scientists, Engineers, Technologists and Industries. (RSM) is an empirical model which employs the use of mathematical and statistical techniques in relating input variables otherwise known as factors to the response. RSM became very useful due to the fact that other methods available such as the theoretical model could be very cumbersome to use, time-consuming, inefficient, error prone and unreliable. In order to draw meaningful conclusions and findings, an experiment is required. In an effort to obtain an objective conclusion (between the factors and the response), an experimenter needs to plan and design the experiments, and analyze the results. An approximation of the response in relation to the variables is otherwise known as RSM. This chapter reviews RSM concept for easy understanding and adoption by researchers. In section 2.0, the various terminologies used in RSM were defined. In section 3.0, RSM design types were highlighted and RSM research phases exposed in section 4.0. Section 8.0 gave some scenario applications of RSM in various fields and section 9.0 defined the RSM research cycle process. General applications and conclusions stated.</dc:description> <dc:publisher>IntechOpen</dc:publisher> <dc:date>2022-09-16</dc:date> <dc:type>Chapter, Part Of Book</dc:type> <dc:identifier>https://www.intechopen.com/chapters/83621</dc:identifier> <dc:identifier>doi:10.5772/intechopen.106763</dc:identifier> <dc:language>en</dc:language> <dc:relation>ISBN:978-1-83880-288-2</dc:relation> <dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights> <dc:source>https://www.intechopen.com/books/11952 ; Response Surface Methodology - Research Advances and Applications</dc:source> </oai_dc:dc>
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spelling intech-836212022-09-16 Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization Sheriff Lamidi Nurudeen Olaleye Yakub Bankole Aishat Obalola Emmanuella Aribike Idris Adigun Physical Sciences, Engineering and Technology In this review chapter, the authors presented a systematic exposition to the concept of Response Surface Methodology (RSM) for applications by Scientists, Engineers, Technologists and Industries. (RSM) is an empirical model which employs the use of mathematical and statistical techniques in relating input variables otherwise known as factors to the response. RSM became very useful due to the fact that other methods available such as the theoretical model could be very cumbersome to use, time-consuming, inefficient, error prone and unreliable. In order to draw meaningful conclusions and findings, an experiment is required. In an effort to obtain an objective conclusion (between the factors and the response), an experimenter needs to plan and design the experiments, and analyze the results. An approximation of the response in relation to the variables is otherwise known as RSM. This chapter reviews RSM concept for easy understanding and adoption by researchers. In section 2.0, the various terminologies used in RSM were defined. In section 3.0, RSM design types were highlighted and RSM research phases exposed in section 4.0. Section 8.0 gave some scenario applications of RSM in various fields and section 9.0 defined the RSM research cycle process. General applications and conclusions stated. IntechOpen 2022-09-16 Chapter, Part Of Book https://www.intechopen.com/chapters/83621 doi:10.5772/intechopen.106763 en ISBN:978-1-83880-288-2 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/11952 ; Response Surface Methodology - Research Advances and Applications
spellingShingle Physical Sciences, Engineering and Technology
Lamidi, Sheriff
Olaleye, Nurudeen
Bankole, Yakub
Obalola, Aishat
Aribike, Emmanuella
Adigun, Idris
Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization
title Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization
title_full Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization
title_fullStr Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization
title_full_unstemmed Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization
title_short Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization
title_sort applications of response surface methodology rsm in product design development and process optimization
topic Physical Sciences, Engineering and Technology
url https://www.intechopen.com/chapters/83621
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