MATLAB 5 for Engineers
Bias-specified robust design optimizaion and its analytical solutions
Computers and Industrial Engineering - Special issue: Selected papers from the 31st international conference on computers & industrial engineering
Development of an adaptive response surface method for optimization of computation-intensive models
Computers and Industrial Engineering
Computers and Industrial Engineering
Hi-index | 0.00 |
The primary goal of robust design is to determine the best design points by minimizing variability of the performance of a manufacturing process and minimizing deviation of the performance from a target value of interest. In this paper, a generalization and improvement of the robust optimization approach, based on the mean squared error, is suggested and applied. The constraint on the process bias is further relaxed. Different response surface functions are evaluated and compared. As an example, different optimization approaches are illustrated with a numerical test case. The results are explained and discussed.