Using the Design of Experimental Method for Problem-Solving of Noisy Parts in the Automotive Industry.

This paper explores and presents the importance and application of the Design of Experiments (DOE) method in scientific and industrial research. It analysed the theoretical foundations of the method in detail and then illustrated concrete examples as well as benefits of its use in an automotive environment. The introduction outlined the key principles and objectives of the DOE method, including optimisation of experimental processes and minimisation of variability of results. The publication focused 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 presented concrete examples of the application of the DOE method in the automotive industry. Through this case study, it was 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 was 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 outlined 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. [ABSTRACT FROM AUTHOR]