Miroshnichenko, V. I.Simkin, O. I.Сімкін, О. І.Мірошниченко, В. І.2023-05-062023-05-062020Miroshnichenko, V., & Simkin, A. (2020). An integrated approach to improve effectiveness of industrial multi-factor statistical investigations. Computer Modeling and Intelligent Systems (CMIS-2020) : proceedings of the Third International Workshop. CEUR Workshop Proceedings, 2608, 526–535.Miroshnichenko V., Simkin A. An integrated approach to improve effectiveness of industrial multi-factor statistical investigations. Computer Modeling and Intelligent Systems (CMIS-2020) : proceedings of the Third International Workshop. CEUR Workshop Proceedings. 2020. Vol. 2608. P. 526–535.1613-0073https://dspace.mipolytech.education/handle/mip/224An approach was developed for computer statistical analysis of big, multi-dimensional arrays of technology parameters and industrial product qual-ity indexes. It provides fully objective, mathematically comprehensive, scien-tifically grounded and physically interpretable description of the manufacturing factor effects on the performance of an industrial product. The approach inte-grates a basic Data Mining exploratory technique, multiple regression models construction and Monte-Carlo simulations. The approach was applied to indus-trial statistical arrays investigations for the ASTM A514 steel. The results ob-tained are in a good accordance with the known Material Science data and were confirmed in industryenmulti-dimensional dataexploratory techniquemultiple regression modelsMonte-Carlo simulationsArticlehttps://orcid.org/0000-0002-9939-7866https://orcid.org/0000-0002-5956-7867