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Mathematical Modeling of the Summarizing Index for the Biosystems Status as a Tool to Control the Functioning of the Environmental Management System at Business Entities

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Mathematical Modeling and Simulation of Systems (MODS'2020) (MODS 2020)

Abstract

The main characteristics of the environmental management systems at business entities depend to a large extent on the correct selection of criteria and indicators for controlling their functioning and implementing organizational changes in the Entity-Environment system. In an economic crisis and as a result of increased competition, there is a need to reduce the time and cost of monitoring studies, which are mandatory to control the functioning of environmental management systems and replace them with computational experiment using developed mathematical models. The purpose of this work is to develop multifactorial models of biosystems status for establishing the ecological efficiency of environmental management systems of business entities, by conducting complex monitoring of the system Entity-Environment using bioindication and biotesting methods. The processing of the experiment results allowed to obtain mathematical models of dependence for the biosystems status and the environmental quality from organizational changes in the system Entity-Environment before and after the implementation of the environmental management system. Graphical interpretation of modeling results al-lows to predict not only biosystems status by environmental indicators, but also to predict the level of environmental safety in the cities and regions, depending on the level of efficiency and control of activities at the business entities operating in various sectors of the economy.

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Correspondence to Ganna Weigang .

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Barabash, O., Weigang, G. (2021). Mathematical Modeling of the Summarizing Index for the Biosystems Status as a Tool to Control the Functioning of the Environmental Management System at Business Entities. In: Shkarlet, S., Morozov, A., Palagin, A. (eds) Mathematical Modeling and Simulation of Systems (MODS'2020). MODS 2020. Advances in Intelligent Systems and Computing, vol 1265. Springer, Cham. https://doi.org/10.1007/978-3-030-58124-4_6

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