This study attempted to identify the influence of the WEDM process variable on performance indicators such as material removal rate during the machining of Inconel X-750. The primary objective of this study is to examine the impact of process variables, understand their effect on material removal rate (MRR), and concurrently optimize MRR using the desirability function analysis (DFA) approach. The results of the experiment have led to the outcomes, as the regression model for MRR developed using RSM is statistically significant. Because of its modest p-value (<0.05) and greater R2 value (0.8799), the response surface methodology (RSM)-based prediction model proposed for MRR is sufficient, statistically significant, and probabilistically validated. The MRR surface plots show that MRR increases with increasing peak current and Ton time while decreasing with increasing servo voltage and pulse-off time. It is observed that the estimated optimum value for MRR using the DFA technique is 4.0998 mm3/min with optimum parameters setting (i.e., Ton = 120 µs, Toff = 50 µs, Ip = 12A, and Sv = 40 V).