Digital twins of machines help you to develop your plant faster and more efficient. You can optimize new machines right from the design phase, identify potential improvements before the actual commissioning and use machine data to continuously optimize operation. Siemens offers the technical prerequisites to become a digital enterprise – implement now!
The digital twin is the precise virtual model of a machine 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 and is able to create 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.
The Digital Enterprise Suite enables manufacturing companies to integrate and digitalize their business processes – including their suppliers. They can start at any point in their value chain, from product design to production planning, production engineering, production execution, and services, and expand the digitalization process step by step. The same goes for machine building: from the machine design to engineering, commissioning, machine operation, and services.
MindSphere, the cloud-based, open IoT operating system, creates a link to the Internet of Things. This means manufacturers can analyze their production facilities and products in actual use, and feed back the insights into the entire value chain for continuous optimization. Machine builders can analyze the machine performance for ongoing optimization of the machine allowing even new machine concepts.
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