An integrated approach to improve effectiveness of industrial multi-factor statistical investigations

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dc.contributor.authorMiroshnichenko, V. I.en
dc.contributor.authorSimkin, O. I.en
dc.contributor.authorСімкін, О. І.uk
dc.contributor.authorМірошниченко, В. І.uk
dc.date.accessioned2023-05-06T22:19:21Z
dc.date.available2023-05-06T22:19:21Z
dc.date.issued2020
dc.description.abstractAn 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 industryen
dc.identifier.citationMiroshnichenko, 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.en
dc.identifier.citationMiroshnichenko 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.en
dc.identifier.issn1613-0073
dc.identifier.orcidhttps://orcid.org/0000-0002-9939-7866
dc.identifier.orcidhttps://orcid.org/0000-0002-5956-7867
dc.identifier.urihttps://dspace.mipolytech.education/handle/mip/224
dc.language.isoenen
dc.publisherCEUR Workshop Proceedingsen
dc.relation.ispartofComputer Modeling and Intelligent Systems (CMIS-2020) : proceedings of the Third International Workshop. CEUR Workshop Proceedings. Vol. 2608 : 526–535.en
dc.subjectmulti-dimensional dataen
dc.subjectexploratory techniqueen
dc.subjectmultiple regression modelsen
dc.subjectMonte-Carlo simulationsen
dc.titleAn integrated approach to improve effectiveness of industrial multi-factor statistical investigationsen
dc.typeArticle
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