Original scientific paper Optimization of machining processes is essential for achieving of higher productivity and high quality products in order to remain competitive. This study investigates multi-objective optimization of turning process for an optimal parametric combination to provide the minimum surface roughness (Ra) with the maximum material-removal rate (MRR) using the Grey-Based Taguchi method. Turning parameters considered are cutting speed, feed rate and depth of cut. Nine experimental runs based on Taguchi's L9 (3 4 ) orthogonal array were performed followed by the Grey relational analysis to solve the multiresponse optimization problem. Based on the Grey relational grade value, optimum levels of parameters have been identified. The significance of parameters on overall quality characteristics of the cutting process has been evaluated by the analysis of variance (ANOVA). The optimal parameter values obtained during the study have been validated by confirmation experiment. Keywords: ANOVA; Grey relational analysis; multi-objective optimization; Taguchi method; turning Optimizacija parametara obrade tokarenja s više kriterija kvalitete uporabom Grey relacijske analizeIzvorni znanstveni članak Optimizacija procesa obrade je neophodna za postizanje veće produktivnosti i visoke kvalitete proizvoda kako bi ostali tržišno konkurentni. Ovaj rad istražuje više-kriterijsku optimizaciju procesa tokarenja s optimalnom kombinacijom parametara obrade koji osiguravaju minimalnu hrapavost površine (Ra) s maksimalnim učinkom uklanjanja materijala (MRR) uporabom Grey-based Taguchi metode. Razmatrani parametri obrade tokarenjem su brzina rezanja, posmak i dubina rezanja. Primjenom Taguchijevog L9 (3 4 ) ortogonalnog plana provedeno je devet eksperimenata te je korištena Grey relacijska analiza kako bi se riješio višekriterijski problem optimizacije. Temeljem vrijednosti Grey relacijskog stupnja utvrđene su optimalne razine parametara. Signifikantnost parametara na sveukupne kriterije kvalitete procesa tokarenja ocijenjena je analizom varijance (ANOVA). Optimalne vrijednosti parametara dobivene tijekom istraživanja potvrđene su verifikacijskim eksperimentom.
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