Methodology for managing model risks in predicting demand for the manufacturing company's products

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Model risk management improves forecasting accuracy in industrial settings, mitigating potential financial losses.
A framework outlines various predictive models tailored for specific risk factors within industrial enterprises.
This study explores the integration of expert knowledge with machine learning techniques to enhance risk assessment.
Understanding model risks in demand forecasting can help industries optimize production processes and reduce inefficiencies.

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Methodological framework integrates machine learning with risk management in industrial enterprises, highlighting model-specific approaches.

M. N. Belozerov (2025) studied this question.

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Methodological framework integrates machine learning with risk management in industrial enterprises, highlighting model-specific approaches.