Abstract
The work is devoted to the development of methodological and instrumental tools for information and analytical support of management of large-scale regional socio-economic systems. The authors consider the architecture of the decision support system in the field of personnel security of a regional production cluster. The mining and chemical cluster of the Murmansk region was taken as an example of such a cluster. The proposed system has a three-level structure and is implemented as a multi-agent network-centric virtual environment focused on solving heterogeneous problems of personnel support for the production cluster. The overall scheme of the system operation is based on the joint use of previously proven different approaches and methods to manage complex systems. The article provides a formal description of the system architecture and a detailed algorithmic description of some stages of the system operation.
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Acknowledgements
The research was supported by the Ministry of Science and Higher Education of the Russian Federation (project No. 0226-2019-0035 «Configuration models and methods of the adaptive multi-level network-centric systems for regional security control in Arctic region of Russian Federation») and granted by the Russian Foundation for Basic Research (RFBR grant No. 19-07-01193-a «Methods and means of information support of personnel security management of the regional mining and chemical cluster»).
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Bystrov, V.V., Khaliullina, D.N., Malygina, S.N. (2020). Architecture of the Decision Support System for Personnel Security of the Regional Mining and Chemical Cluster. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives in Intelligent Systems. CoMeSySo 2020. Advances in Intelligent Systems and Computing, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-63322-6_36
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DOI: https://doi.org/10.1007/978-3-030-63322-6_36
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