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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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

- Asif Ahmad, Shahnawaz Alam and Meenu Sharma
- Analysis and Optimization of Process Parameters in Wire Electrical Discharge Machining Based on RSM: A Case Study

- Aysun Sagbas
- Application of Central Composite Design with Design Expert v13 in Process Optimization

- Chigoziri N. Nnaemeka Njoku and Samuel K. Kalu Otisi
- Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization

- Sheriff Lamidi, Nurudeen Olaleye, Yakub Bankole, Aishat Obalola, Emmanuella Aribike and Idris Adigun
- Introductory Chapter: Response Surface Methodology

- Palanikumar Kayaroganam
- Optimization of Baker's Yeast Production on Grape Juice Using Response Surface Methodology

- Sawsan Mahmood, Ali Ali, Wissam Zam and Ayhem Darwesh
- Perspective Chapter: Cyclic Generation of Box-Behnken Designs and New Second-Order Designs

- Nam-Ky Nguyen, Mai Phuong Vuong and John J. Borkowski
- Response Surface Model Applied to Fine Arts: The Case of the Restoration of Paintings

- 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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