Capability prediction through Design of Experiments (DOE) and Monte Carlo Simulation on Automotive Innovation Activities 2008-36-0021
Nowadays Design of Experiments (DOE) has been used intensively in industrial environment as an important tool to identify critical factors related to a certain output characteristic. Another relevant characteristic is that the DOE can also be used as a strong resource on “physical system modeling process”, as presented in this paper. It was possible to generate a transfer function relating the output and the main input factors and in sequence a Monte Carlo simulation was used in order to predict the process capability. It was possible to observe a strong convergence between predicted results and real world results.
Citation: Junior, H., Turrioni, J., Mologni, J., and Fernandes, M., "Capability prediction through Design of Experiments (DOE) and Monte Carlo Simulation on Automotive Innovation Activities," SAE Technical Paper 2008-36-0021, 2008, https://doi.org/10.4271/2008-36-0021. Download Citation
