Multi-characteristic optimization problem is frequently confronted in modern industries due to the customer’s various requirements on the products and services. Because of multi-characteristics’ interrelation, however, it is not easy to satisfy th...
Multi-characteristic optimization problem is frequently confronted in modern industries due to the customer’s various requirements on the products and services. Because of multi-characteristics’ interrelation, however, it is not easy to satisfy them all at the same time. There are several approaches developed to solve this problem and Grey relational analysis is among them.
Grey relational analysis method transforms, like the other optimization methods for multi-characteristic situation, the influences of factors on multiple characteristics into the same scaled measures. And then it optimizes the objective function of univariate characteristic derived from multiple characteristics interrelations. In the Grey relational analysis procedure, the compatibility sequence is usually obtained as the linear function of the distance between the value of quality characteristic and its target. As is known Taguchi’s quadratic loss, the quality loss increases as the value of quality characteristic is getting off the target. And therefore, it can be applied to obtain the comparability sequence of Grey relational analysis.
In this thesis, the optimization of multi-characteristic process based on Grey relational analysis using Taguchi’s quadratic loss function is considered. And the case study of the grinding process of aircraft engine bushing is given to show the efficiency of newly proposed Grey relational analysis for optimizing multi-characteristic process. The results of process capability analyses for both Grey relational analyses are compared and the newly proposed Grey relational method can be efficient for certain situations.