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Intellectual Information Technologies of the Resources Management in Conditions of Unstable External Environment

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2021)

Abstract

A methodology for preserving production under extreme environmental influences by controlling the dynamics of resource flows at certain iterations of the production development trajectory is proposed. Intelligent information technologies for the resource redistribution have been developed using the Ford-Fulkerson algorithm and its modifications related to the determination of residual resource flows. The saturation of the network in the modified Ford-Fulkerson algorithm is in the direction of the formation and increase of stabilization funds needed to compensate for the costs of negative effects of environmental factors. The specifics of managing the development of production in an unstable environment is not to stop production during the lockdown, but to redistribute the main flow of the resources and its division into production and stabilization components. Control iterations are synchronized with the direction of the shared flows at the time of restriction. A multifactor cross-algorithm of resource provision of enterprises operating in conditions of uncertainty is proposed. It consists of an algorithm for determining the share of resources to be redistributed and an algorithm for controlling their movement. In the conditions of business uncertainty at outbreaks of negative factors of influences of environment there is a transformation of the purposes of manufacture: not reception of the maximum profit, and preservation of manufacture at extreme influences of external environment.

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Sharko, M. et al. (2022). Intellectual Information Technologies of the Resources Management in Conditions of Unstable External Environment. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_35

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