Simultaneous optimization of multiple responses in abrasive waterjet machining of borosilicate glass

Simultaneous optimization of multiple responses in machining processes is a challenging task to process engineers. Conflicting type response and cumbersome internal mathematical steps of optimization method itself make the task more difficult. Some discrete multi-response optimization methods namely WSN, GRA, VIKOR, MOORA and TOPSIS methods involve comparatively simpler implementation procedures. For simultaneous optimization of average depth of cut and average kerf taper in abrasive waterjet machining process, the five methods are employed. Different normalization techniques, data conversion methods and combination methods for responses are used. Optimum results are validated through confirmation test. Optimum results for different weight factor combinations are also checked. Performance of multi-response optimization methods is compared with the aid of Spearman's rank correlation coefficient.