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Statistical Methods for Decision-Making Regarding Technological Systems

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Intelligent Systems in Production Engineering and Maintenance III (ISPEM 2023)

Abstract

This article is a study that is based on a literature review. The research is aimed at a better understanding of the types and content of statistical methods and their features of use for decision-making in the management of parameters of technological systems. During the literature review, more than 200 scientific sources were analyzed, and about 140 articles on the topic were studied. About 80 articles published since 2000 were selected for the work. The conducted research made it possible to identify three main groups of statistical methods that are recommended for use in decision-making regarding the components of technological systems: methods of a high level of complexity, special methods and methods of general purpose. The proposed classification of statistical methods makes it possible to speed up decision-making when choosing a statistical method for research and analysis of parameters of technological systems and more fully reflects the nomenclature of recommended statistical methods.

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Acknowledgment

The scientific results have been partially obtained within the research project BPI/UE/2022/8-00 “Strengthening the cooperation between Sumy State University and Poznan University of Technology in Mechanical Engineering” funded by NAWA. The research was partially supported by the Research and Educational Center for Industrial Engineering (Sumy State University) and International Association for Technological Development and Innovations. This work was also supported by the projects “Development of excellent research capacities in the field of additive technologies for the Industry of the 21st century”, ITMS: 313011BWN5, supported by the Operational Program Integrated Infrastructure funded by the ERDF.

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Lieposhkina, N., Denysenko, Y., Trojanowska, J., Korotun, M., Pop, G. (2024). Statistical Methods for Decision-Making Regarding Technological Systems. In: Burduk, A., Batako, A.D.L., Machado, J., Wyczółkowski, R., Dostatni, E., Rojek, I. (eds) Intelligent Systems in Production Engineering and Maintenance III. ISPEM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-44282-7_23

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