This study demonstrates the solution of the Multi-Objective Optimization Problem (MOOP) for a two-stage helical gearbox with double gears in the first stage by the application of a Multi-Criteria Decision Making (MCDM) technique. The aim is to determine the optimal design elements that will minimize gearbox length and enhance gearbox efficiency. In addition, the analysis concentrated on three crucial design parameters: the gear ratio of the initial stage, and the coefficients of wheel face width (CWFW) for the first and second stages. In addition, the Multi-Expert Ranking Evaluation with Compensation (MEREC) technique was employed to determine the weight criteria for addressing the Multi-Objective Optimization Problem (MOOP), while the Simple Additive Weighting (SAW) technique was selected to address the Multiple Criteria Decision Making (MCDM) problem. The study’s findings are valuable for determining the most effective values for three critical design parameters when constructing a two-stage helical gearbox with double gears in the first stage.