Modeling the uncertainty in response surface methodology through optimization and Monte Carlo simulation: An application in stamping process
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 factor...
Main Authors: | Aneirson Francisco da Silva, Fernando Augusto Silva Marins, Erica Ximenes Dias, Jose Benedito da Silva Oliveira |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2019-07-01
|
Series: | Materials & Design |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127519302138 |
Similar Items
-
Uncertainty Determination with Monte-Carlo Based Algorithm
by: Leite, Nelson Paiva Oliveira, et al.
Published: (2011) -
Programação por Metas Fuzzy aplicada ao processo de orçamento de capital em um ambiente econômico sob incerteza
by: Aneirson Francisco da Silva, et al.
Published: (2017-08-01) -
Monte Carlo vs. Fuzzy Monte Carlo Simulation for Uncertainty and Global Sensitivity Analysis
by: Young-Jin Kim
Published: (2017-03-01) -
Uncertainty of Complex Systems by Monte Carlo Simulation
by: Martin Basil, et al.
Published: (1999-02-01) -
System Uncertainty Modelling Using Monte Carlo Simulation
by: L. Coughlan, et al.
Published: (2000-04-01)