DEA-based Taguchi method for Optimization of CNC End milling Process parameters

In any machining operations, quality and productivity are the two important conflicting objectives. In order to give assurance for high productivity, some extent of quality has to be compromised. Similarly productivity will be decreased while the efforts are channelized to enhance quality. Therefore it is essential to optimize both quality and productivity simultaneously. Surface roughness and material removal rate in end milling refer to quality and productivity respectively. In this paper, Data Envelopment Analysis based Taguchi method is employed for solving the multi-response optimization problem in CNC end milling. The application of the methodology is demonstrated through an experimental study in which end milling of aluminium is carried on CNC milling machine.