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Response Surface Methodology - Research Advances and Applications

Edited by Palanikumar Kayaroganam

in Books from IntechOpen

Abstract: Response surface methodology (RSM) is the statistical and mathematical technique that lays its foundation of quality in any experiment and it aims to optimize the response. RSM is mainly used for modeling and optimization of process parameters. This book discusses advances in RSM and its applications. Chapters discuss topics such as cyclic generators for Box-Behnken Designs, the application of RSM for product design, and potential applications of RSM in manufacturing, food processing, the fine arts, and more.

JEL-codes: C60 (search for similar items in EconPapers)
Date: 2023
ISBN: 978-1-83880-288-2
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Downloads: (external link)
https://www.intechopen.com/books/7855 (text/html)
Book downloadable chapter-by-chapter

Chapters in this book:

Analysis and Optimization of Bead Geometry by Using Response Surface Methodology Downloads
Asif Ahmad, Shahnawaz Alam and Meenu Sharma
Analysis and Optimization of Process Parameters in Wire Electrical Discharge Machining Based on RSM: A Case Study Downloads
Aysun Sagbas
Application of Central Composite Design with Design Expert v13 in Process Optimization Downloads
Chigoziri N. Nnaemeka Njoku and Samuel K. Kalu Otisi
Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization Downloads
Sheriff Lamidi, Nurudeen Olaleye, Yakub Bankole, Aishat Obalola, Emmanuella Aribike and Idris Adigun
Introductory Chapter: Response Surface Methodology Downloads
Palanikumar Kayaroganam
Optimization of Baker's Yeast Production on Grape Juice Using Response Surface Methodology Downloads
Sawsan Mahmood, Ali Ali, Wissam Zam and Ayhem Darwesh
Perspective Chapter: Cyclic Generation of Box-Behnken Designs and New Second-Order Designs Downloads
Nam-Ky Nguyen, Mai Phuong Vuong and John J. Borkowski
Response Surface Model Applied to Fine Arts: The Case of the Restoration of Paintings Downloads
Julio Romero-Noguera, Nuria Perez-Villares, Fernando Bolivar-Galiano and Rafael Bailon-Moreno

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Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:7855

DOI: 10.5772/intechopen.102317

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