This work presents an unusual approach to simultaneous optimization and transfer of the experiment to a larger scale. The presented procedure allowed for a significant reduction in the number of experiments to 6 for obtaining the model and 7 to confirm the optimal conditions. In the case of the classic DoE method, it will be 7 or 13 experiments (respectively without or with star point) and additional confirmation experiment at the optimum conditions. It should also be remembered that in the case of classic DoE, preliminary experiments should be performed to define the research area. The developed model allowed for the determination of optimal conditions and the prediction of product properties with high accuracy. This approach could be used in other research and development works, especially if there is no time or funding for an accurate preliminary study.