Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/59749
Título: Delineamento composto central e suas aplicações
Título(s) alternativo(s): Central Composite Design and its Applications
Autores: Guimarães, Paulo Henrique Sales
Santos, Ariana Silva
Bueno Filho, Júlio Silvio de Sousa
Palavras-chave: Estatística Experimental
Otimização de Experimentos
Delineamento Composto Central
Metodologia de Superfície de Resposta
Análise de Variância
Modelagem Matemática
Softwares de Código Aberto
Experimental Statistics
Optimization of Experiments
Central Composite Design
Response Surface Methodology
Analysis of Variance
Mathematical Modeling
Open-source Software
Data do documento: 17-Dez-2024
Editor: Universidade Federal de Lavras
Citação: NEVES, Taís Teixeira das. Delineamento composto central e suas aplicações. 2024. 50 f. Dissertação (Mestrado em Estatística e Experimentação Agropecuária) — Universidade Federal de Lavras, Lavras, 2024.
Resumo: Experimental planningis a crucial step for thecorrectdevelopmentofscientificresearch. The use ofthe central composite design (CCD) associatedwiththe response surfacemethodology (RSM) hasbeenincreasing in severalresearchareas. The objectiveofthisworkwastosystematizetheliteraturepublishedonthe use of CCD and RSM in thelast 5 years. For thispurpose, a systematicliterature review waspreparedusingtheStArt (StateoftheArtthroughSystematic Review)software. Followingthe PRISMA flowchart, searcheswereperformed in 3 databases (Science Direct, Scopusand Web of Science), basedoninclusionandexclusioncriteria. In thescreeningandselectionstages, duplicatearticles, book chapters, reviews andincompletearticleswereremoved. Of a total of 959 articlesfoundandexamined, 111 wereeligibletothestudyof CCD and RSM. Eligiblearticleshighlightthat CCD and RSM are methodologiesthatcomplementeachother. The mostusedtypesof CCD wererotational (68.5%) and face-centered (20.7%). These designs wereoptimizedbetween 2 to 6 factorssimultaneously, with a numberof experimental trialsrangingfrom 9 to 47. CCDandRSMwereapplied in differentareasofknowledge, withemphasisonpharmacy (drugformulation) andenvironmental (contaminantremoval), toreducethecostsofexperimentsandobtainoptimized responses to solve problems. Statistically, the data fromthe CCD are subjectedto ANOVA thatgenerates a quadraticpolynomialmodel, managingthecreationofthe MSR. A critical point identified in this review isthe use ofpaid software toevaluateCCDandcreateRSM. Alternatively, the use offreeor open source software such as R and Python canbeanalternativeto solve this problem. Thisworkcontributestotheunderstandingofthe use ofCCDandRSM as a methodology for experimentoptimization.
URI: http://repositorio.ufla.br/jspui/handle/1/59749
Aparece nas coleções:Estatística e Experimentação Agropecuária - Mestrado (Dissertações)



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