Optimization of digital management process in organizational system with multivariate modeling technologies

Angela Borzova; Yakov Lvovich; Vladimir Muha; Andrey Preobrazhenskiy

doi:10.1117/12.2669097

5 January 2023 Optimization of digital management process in organizational system with multivariate modeling technologies

Angela Borzova, Yakov Lvovich, Vladimir Muha, Andrey Preobrazhenskiy

Author Affiliations +

Proceedings Volume 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022); 125641A (2023) https://doi.org/10.1117/12.2669097
Event: Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2022), 2022, Dushanbe, Tajikistan

Abstract

Currently, a very urgent problem is the development of approaches related to the management of organizational systems. It is necessary to develop an apparatus for formalized description, optimization and expert assessment, focused on decision-making with the multivariate nature of the interaction of digital means of the control center and objects of the logistic part of the organizational system. The decision-making algorithm for the optimal choice on the set of fixed options for the structure of digital control is considered. The decision-making algorithm for the optimal choice on the set of variable options for the cluster structure of digital control, considering the boundary requirement is shown.

Citation Download Citation

Angela Borzova, Yakov Lvovich, Vladimir Muha, and Andrey Preobrazhenskiy "Optimization of digital management process in organizational system with multivariate modeling technologies", Proc. SPIE 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022), 125641A (5 January 2023); https://doi.org/10.1117/12.2669097

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