The ulitization of durian wood (Durio zibethinus) and corn cob (Zea mays) biochar on corn yields in acid sulphate soil

Setiawati, Evy; Annisa, Wahida

doi:10.1088/1757-899x/980/1/012027

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…DOE is a structured and organized method used to determine the relationship between different process input and output factors, involving the definition of the set of experiments, in which all relevant factors are systematically varied. By analyzing the results obtained, one can determine the degree of influence on the response variable of each factor used, as well as the interactions between the factors and the optimum conditions (Chen et al, 2020;Korolchenko & Minaylov, 2020;Setiawati & Yusuf, 2020;Yang et al, 2020).…”

Section: Theoretical Referentialmentioning

confidence: 99%

How to perform a simultaneous optimization with several response variables

Cardoso¹,

Reis²,

Silva³

et al. 2023

R. G. Secr.

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A problem facing the product development community is developing simultaneous solutions of response variables (to several properties) that depends on a number of independent variables or sets of responses. Harrington, among others, addressed this problem and presented a desirability function with a functional approach. Derringer and Suich altered their approach and illustrated how multiple variables can be transformed into a convenience function. This work redid the calculation performed by them using another software and made a comparative discussion of the results found.

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Section: Theoretical Referentialmentioning

confidence: 99%

How to perform a simultaneous optimization with several response variables

Cardoso¹,

Reis²,

Silva³

et al. 2023

R. G. Secr.

View full text Add to dashboard Cite

show abstract

“…DOE is a structured and organized method used to determine the relationship between different process input and output factors, involving the definition of the set of experiments, in which all relevant factors are systematically varied. By analyzing the obtained results, one can determine the degree of influence on the response variable of each used factor, as well as the interactions between the factors and the optimum conditions (Chen et al, 2020;Korolchenko & Minaylov, 2020;Setiawati & Yusuf, 2020;Yang et al, 2020).…”

Section: Theoretical Referentialmentioning

confidence: 99%

Scientific research trends about metaheuristics in process optimization and case study using the desirability function

Cardoso¹,

Reis²,

Silva³

et al. 2023

R. G. Secr.

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This study aimed to identify the research gaps in Metaheuristics, taking into account the publications entered in a database in 2015 and to present a case study of a company in the Sul Fluminense region using the Desirability function. To achieve this goal, applied research of exploratory nature and qualitative approach was carried out, as well as another of quantitative nature. As method and technical procedures were the bibliographical research, some literature review, and an adopted case study respectively. As a contribution of this research, the holistic view of opportunities to carry out new investigations on the theme in question is pointed out. It is noteworthy that the identified study gaps after the research were prioritized and discriminated, highlighting the importance of the viability of metaheuristic algorithms, as well as their benefits for process optimization.

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