The technological process of an enterprise is, as a rule, a complex sequence of stages of converting raw materials, blanks or other source material into finished products, which involves dozens of production sites with varying levels of automation and observability, as well as operators, technologists, economists and other specialized specialists. Even though the enterprise can operate normally, without failures or deviations from the schedule, or there is often no answer at all to the questions: what is the expected cost of production, is it possible to reduce it; is it possible to improve productivity; nor these answers are very difficult. In conditions of instability of product prices, redistribution of sales markets and rising energy costs, prompt answers to such questions become more than relevant.

A digital twin for end-to-end optimization of the technological process serves to promptly answer questions: about the actual expected cost of production; on the possibility of minimizing the consumption of electricity and other consumables while maintaining production volume; the possibility of quickly reconfiguring production sites when plans change; about automatic forecasting of emergencies and failures, indicating their causes, and much more.