Simulation modeling of information processing processes in corporate systems
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Abstract
This article presents the scientific foundations of modeling information processing processes in corporate information systems. The study examines methods for analyzing information flows, developing data processing algorithms, improving data transmission efficiency, and solving synchronization issues within the network. The proposed model provides a comprehensive mathematical representation of the stages of data analysis, processing, and control. Using a simulation developed in the Python environment, the process of information exchange in corporate systems has been modeled.
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References
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