This paper shows how to solve the Multi-Objective Optimization Problem (MOOP) for a two-stage helical gearbox with double gears in the first stage by using a Multi-Criteria Decision Making (MCDM) technique. The objective is to identify the most beneficial key design components that will reduce gearbox dimensions and increase gearbox efficiency. Furthermore, the analysis focused on three important design parameters: the gear ratio of the first stage, and the coefficients of wheel face width (CWFW) for the first and second stages. Additionally, the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was used to calculate the weight criterion for solving the MOOP, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique was chosen to handle the MCDM problem. The results of the study are useful in determining the optimal values for three crucial design parameters for building a two-stage helical gearbox with double gears in the first stage.