Glossar

A digital twin is a digital representation of a physical object, a piece of equipment, or a process. It realistically depicts the current state based on continuously collected data and enables its analysis, monitoring, and simulation.

Digital twins link sensor data with virtual models and are used in logistics to optimize material flows, facilities, and warehouse processes. Through continuous synchronization with real-time operational data, processes can be analyzed, changes simulated, and opportunities for optimization identified early on. This allows decisions to be made based on up-to-date and reliable data.

Practical example:

In a logistics center, a digital twin maps the material flow in real time and simulates the effects of changed conveyor routes on the entire process.

See also: 3D data, Artificial Intelligence (AI), Data analysis, Industry 4.0, Master data capture, Material flow, Process optimization, Sensor technology