Optimization of rice cracker processes is essential for achieving of higher productivity in order to remain competitive. This study investigates multi-objective optimization of paddy cracker process for an optimal parametric combination to provide the maximum percentage of good rice (GR) with the minimum humidity (HU) using the Grey–Based and Taguchi method. Paddy cracking parameters considered are spindle speed, clearance and temperature. Sixteen experimental runs based on Taguchi’s L16 (43 ) orthogonal array were performed followed by the Grey relational analysis to solve the multi-response 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 rice cracker process has been evaluated by the analysis of variance (ANOVA) and regression coefficient analysis. Under the assumption of significant confidence.