Analysis of robust parameter designs

Analysis of Robust Parameter Designs

Evolutionary Designs for Robust Parameter Design Experimentation

The following article presents the application of an evolutionary strategy to produce nearly optimal design matrices, containing the parameter settings to execute an experiment. The properties of such matrices significantly determine the precision of the optimization models used in Robust Parameter Design (RPD). The methodology presented allows the user to produce new experimental design matric...

Robust Parameter Designs: an Empirical Study

1. The Problem In off-line quality control, robust parameter design is a valuable tool in determining values of design variables that would minimize losses due to process variation and deviation from target. In this regard, combined-array designs have been suggested to estimate the effects of the design variables on the mean and variation of the quality characteristic under study. In combined a...

Optimal Selection of Blocked Robust Parameter Designs and their Applications

Blocking is a useful technique to control systematic variation in experiments. Robust parameter design is widely used as an effective tool to reduce process variability by appropriate selection of control factors to make the process insensitive to noise. In this paper, we propose and study a method for selecting the optimal blocked robust parameter designs when some of the control-by-noise inte...

Estimation of Process Variances in Robust Parameter Designs