Greater flexibility and productivity for the soft drink industry
Digitalization facilitates rapid changes in production
The soft drink market is characterized by frequently changing and often short-lived trends. To stay ahead of the competition over the long term, soft drink manufacturers must be able to rapidly adapt their production to new requirements at all times – and to always work efficiently and produce optimal quality. Digitalization gives them the flexibility they need to accomplish this while also boosting energy efficiency. Solutions tailored specifically to the requirements of soft drink production ensure reliable production processes and product quality that can be reproduced at all times.
The comprehensive Digital Twin in detail
Our holistic approach for creating Digital Twins offers tangible benefits: You can substantially reduce the number of prototypes you need, predict the performance of the production unit and the products themselves, and ensure you produce what your customers expect.
The digital twin is the precise virtual model of a product or a production plant. It displays their development throughout the entire lifecycle and allows operators to predict behavior, optimizing performance, and implement insights from previous design and production experiences.
Our comprehensive concept of the digital twin consists of three forms: the digital twin of the product, the digital twin of production, and the digital twin of the performance of both product and production. Thanks to our comprehensive domain expertise and optimized tools, Siemens is the only company that offers this holistic approach.
There is tremendous value gained from performing "what if" scenarios and predicting future performance with the digital twin. The ultimate goal of the digital twin is in the closed-loop connection between the virtual world of product development and production planning with the physical world of production system and product performance. Through this connection actionable insight is gained from the physical world for informed decisions throughout the lifecycle of products and production operations.
