Methodological approach develops a risk management system for demand forecasting in industrial enterprises, suggesting integration with machine learning.
Key Points
Developing a risk management system enhances demand forecasting accuracy for industrial products, reducing financial losses.
The approach includes integrating machine learning with expert knowledge for effective risk management in predictive models.
Methodological principles guide the creation of tailored management systems for different industrial enterprises' needs.
The study emphasizes the importance of addressing model risks when implementing digital twins and technological process models.