This paper explores and presents the importance and application of the Design of Experiments (DOE) method in scientific and industrial research. It analyses in detail the theoretical foundations of the method and then illustrates concrete examples and benefits of its use in an automotive environment. The introduction outlines the key principles and objectives of the DOE method, including optimization of experimental processes and minimization of variability of results. The publication focuses on the significant impact of this method in improving the efficiency of experiments and achieving reliable and reproducible results. The practical part of the paper presents concrete examples of the application of the DOE method in the automotive industry. Through this case study, it is highlighted how the DOE method enables the systematic investigation of the influence of different factors on experimental results, leading to a better understanding of the phenomena under investigation and an increase in process efficiency. Emphasis is also placed on the practical aspects of using the DOE method, including the design of experimental plans and the analysis of the data obtained. The case study outlines the challenges and benefits that can arise when implementing this method and presents new perspectives for future research in statistical experimental analysis. Overall, this research paper can be considered an important resource for researchers and practitioners seeking effective methods for planning and conducting experiments to achieve significant research results in various disciplines.