Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process (2019)
- Authors:
- USP affiliated authors: DIAS, ERICA XIMENES - EEL ; SILVA, ANEIRSON FRANCISCO - EEL
- Unidade: EEL
- DOI: 10.1016/j.matdes.2019.107776
- Assunto: ENGENHARIA DE PRODUÇÃO
- Keywords: Uncertainty; Response surface methodology; Stamping process; Experimental problems; Optimization via Monte Carlo simulation
- Agências de fomento:
- Language: Inglês
- Abstract: Among the most frequently used experimental design techniques is the response surface methodology (RSM), which uses an approximation of the real objective function, in the form of an empirical quadratic function. RSM allows the identification of the relations between independent variables (or factors) and a (dependent) re- sponse variable. The main contribution of this article is to propose a new procedure that considers the insertion of uncertainties in the coefficients of this empirical function, which is what generally occurs, in practical experimen- tal problems. The new procedure was applied to a real case related to a stamping process in an automotive com- pany, and the results were compared to those obtained by applying classic RSM. The advantages offered by this innovative procedure are presented and discussed, including the statistical validation of the results. The proposed procedure reduces, and sometimes eliminates, the need for additional confirmatory experiments in the labora- tory, and allows getting a better adjustment of the factor values and the optimized response variable value com- pared to the results calculated by classic RSM. It was possible to determine that the proposed procedure outperforms the use of (deterministic) optimization, using the generalized reduced gradient (GRG) algorithm, which is traditionally employed in RSM applications.
- Imprenta:
- Source:
- Título: Materials & design
- ISSN: 02641275
- Volume/Número/Paginação/Ano: v.173, p.1-13, 2019
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by-nc-nd
-
ABNT
SILVA, Aneirson Francisco da et al. Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process. Materials & design, v. 173, p. 1-13, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.matdes.2019.107776. Acesso em: 04 jan. 2026. -
APA
Silva, A. F. da, Marins, F. A. S., Dias, E. X., & Oliveira, J. B. da S. (2019). Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process. Materials & design, 173, 1-13. doi:10.1016/j.matdes.2019.107776 -
NLM
Silva AF da, Marins FAS, Dias EX, Oliveira JB da S. Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process [Internet]. Materials & design. 2019 ;173 1-13.[citado 2026 jan. 04 ] Available from: https://doi.org/10.1016/j.matdes.2019.107776 -
Vancouver
Silva AF da, Marins FAS, Dias EX, Oliveira JB da S. Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process [Internet]. Materials & design. 2019 ;173 1-13.[citado 2026 jan. 04 ] Available from: https://doi.org/10.1016/j.matdes.2019.107776
Informações sobre o DOI: 10.1016/j.matdes.2019.107776 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
