2020
DOI: 10.1109/access.2020.3001621
|View full text |Cite
|
Sign up to set email alerts
|

A New Class of Second-Order Response Surface Designs

Abstract: 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 composite design to achieve a good D-value and efficiency. The new designs are suitable for sequential experimentation. In comparison with known designs in the same class, the new designs are tested and found to have better D-values on a range of factors. With this … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
5
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 28 publications
(43 reference statements)
0
5
0
Order By: Relevance
“…Using the approach outlined in the section on block structure of Orthogonal matrices by Alrweili et al [ 9 ], we have generated new composed Orthogonal designs. Those designs consist of the blocks of known OD that are combined in such a way that they maintain their orthogonality.…”
Section: Design Componentsmentioning
confidence: 99%
See 1 more Smart Citation
“…Using the approach outlined in the section on block structure of Orthogonal matrices by Alrweili et al [ 9 ], we have generated new composed Orthogonal designs. Those designs consist of the blocks of known OD that are combined in such a way that they maintain their orthogonality.…”
Section: Design Componentsmentioning
confidence: 99%
“…In scenarios involving an odd number of factors, Alrweili et al [ 9 ] presented the idea of a modified axial part structure that comprises blocks of pre-existing orthogonal designs. This necessitates the addition of an extra column and rows to maintain orthogonality.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, some researchers have begun to use response surface design method to fit binomial and polynomial function relationships for the mutual influence of multicomponent reagent formulas in order to confirm the optimize formula components. Alrweilih et al (2020) optimized the response surface design method. Chaker et al (2021) optimized an efficient statistical modeling of response surface method and proposed a new photodegradation material of textile azo dyes.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, response surface methodology (RSM), a method combining statistics and mathematics, is extensively employed to identify and solve relationships between random variables and system responses of complex systems. In RSM, comprehensive statistical experimental techniques are used to assess the effects of multiple factors and their interactions on one or more response variables [25][26][27]. Hence, RSM combined with UAE is widely applied in extracting antioxidant compounds relevant to food science, technology, and medicine [28].…”
Section: Introductionmentioning
confidence: 99%