A hybrid DMAIC framework for integrating response surface methodology and multi-objective optimization methods (2022)
- Authors:
- Autor USP: DIAS, ERICA XIMENES - EEL
- Unidade: EEL
- DOI: 10.1007/s00170-022-10152-z
- Assunto: AGLUTINAÇÃO
- Keywords: Hybrid DMAIC framework; Multi-objective optimization; Response surface methodology; Agglutination functions; Glass lamination process
- Language: Inglês
- Abstract: In many practical situations, it is important to evaluate the relationships between the factors that compose an industrial process and their effects on one or more response variables that are of interest to an enterprise. The main contribution of this present study is to propose a new conceptual hybrid framework based on the DMAIC (Define, Measure, Analyze, Improve, and Control) methodological structure, to optimize complex experimental problems with multiple responses. This procedure combines Response Surface Methodology, with the Desirability (D), Modified Desirability (MD), Compromise Programming (CP) functions, with Generalized Reduced Gradient (GRG) and Evolutionary Algorithms (EA). We made real application to a glass lamination process case study to describe how to use the proposed framework. The procedure allowed several configurations to be tested involving the D, MD and CP functions, adopting the GRD and EV, to optimize the studied industrial process. The best configuration was defined by a practical confirmation experiment and validated by company engineers and experts. As examples of the advantages of adopting the proposed framework in the glass lamination problems, the best solutions resulted in a 49.86% increase in grinding wheel shelf life, corresponding to a 927kg reduction of steel-use per year, and a 41.7% reduction in dressing stone consumption, saving 17,200 stones per year.
- Imprenta:
- Source:
- Título: International journal of advanced manufacturing technology
- ISSN: 02683768
- Volume/Número/Paginação/Ano: v.22, p.4139-4164, 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
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ABNT
SILVA, Aneirson Francisco da et al. A hybrid DMAIC framework for integrating response surface methodology and multi-objective optimization methods. International journal of advanced manufacturing technology, v. 22, p. 4139-4164, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00170-022-10152-z. Acesso em: 01 jan. 2026. -
APA
Silva, A. F. da, Aranda, K. M., Marins, F. A. S., Dias, E. X., & Miranda, R. de C. (2022). A hybrid DMAIC framework for integrating response surface methodology and multi-objective optimization methods. International journal of advanced manufacturing technology, 22, 4139-4164. doi:10.1007/s00170-022-10152-z -
NLM
Silva AF da, Aranda KM, Marins FAS, Dias EX, Miranda R de C. A hybrid DMAIC framework for integrating response surface methodology and multi-objective optimization methods [Internet]. International journal of advanced manufacturing technology. 2022 ;22 4139-4164.[citado 2026 jan. 01 ] Available from: https://doi.org/10.1007/s00170-022-10152-z -
Vancouver
Silva AF da, Aranda KM, Marins FAS, Dias EX, Miranda R de C. A hybrid DMAIC framework for integrating response surface methodology and multi-objective optimization methods [Internet]. International journal of advanced manufacturing technology. 2022 ;22 4139-4164.[citado 2026 jan. 01 ] Available from: https://doi.org/10.1007/s00170-022-10152-z
Informações sobre o DOI: 10.1007/s00170-022-10152-z (Fonte: oaDOI API)
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