Digital Planning Twin
Simulate Decisions Instead of Estimating

A guest contribution by Viktor Poplavski * | Translated by AI 5 min Reading Time

Related Vendor

In the industry, planning is often still based on tables, averages, and experience. In reality, however, far more parameters come into play, which also fluctuate over time. This is where the digital planning twin provides answers when it follows a clear decision question.

If the future storage and material flow structure of a plant site needs to be planned, the digital planning twin can demonstrate whether the structure works even under peak loads or with a changed product mix.(Image: AI-generated)
If the future storage and material flow structure of a plant site needs to be planned, the digital planning twin can demonstrate whether the structure works even under peak loads or with a changed product mix.
(Image: AI-generated)

Digital twins are considered a future topic in the industry. However, not every simulation provides a reliable basis for decision-making. And this is precisely where the digital planning twin comes in: it combines process knowledge, data, and simulation into a tool for specific planning issues.