Digital Twin

Digital twin
A digital twin is a virtual model of a product, system or installation. A digital twin of a manufacturing line refers to a digital model used to simulate actual processes. In the case of a manufacturing process, a digital twin can serve as a realistic simulation of the production process.

Scenario simulation

The main advantage of a digital twin is the ability to simulate and evaluate different production scenarios before they are implemented in the factory. This allows manufacturing companies to identify problems in advance, analyze different scenarios and try out optimization options.

A digital twin can provide detailed information on every aspect of the manufacturing process, such as machine performance, production capacity, material flows and energy consumption. By using real-time data and simulation models, a digital twin can make accurate predictions about the effects of various changes and optimizations within the manufacturing process.

digital twin Factory simulations

Development digital twin

A digital twin provides the ability to monitor and optimize the production process. By comparing the operation of the virtual factory with actual performance, anomalies can be detected and improvement opportunities identified. This enables manufacturers to proactively intervene and optimize production processes to ensure maximum efficiency and quality.

Moreover, a digital twin can also serve as a platform for testing and developing new products and manufacturing processes. Manufacturers can create virtual prototypes of products and run simulations to evaluate their performance and feasibility before creating physical prototypes. This not only reduces product development costs and time, but also enables faster innovation.

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Optimization and evaluation

The use of a digital twin offers many advantages in a manufacturing process in an automated factory. It enables manufacturers to simulate and evaluate production scenarios, monitor and optimize production process operation, and develop new products and processes. This allows organizations to improve production performance, reduce costs, operate more efficiently and drive innovation.

Simulations and automation concepts for factories
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