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Data Analysis Will Be A Big Topic

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Data Analysis Will Be A Big Topic
Data Analysis Will Be A Big Topic

Video: Data Analysis Will Be A Big Topic

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Hannover Messe 2017 "Only companies that digitize their processes holistically will remain competitive," says Jan Mrosik, CEO of the Siemens Digital Facotry division. Siemens understands this to mean the seamless flow of data between all steps of the value chain: from product design to production planning, engineering and production to service - and back again.

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Jan Mrosik uses the development of an industrial PC to explain exactly what this holistic approach looks like. A digital twin is then also created for production. With the help of further simulation tools, the digital twin of the IPC runs through its future, virtual production. "Here you can check, among other things, whether a particular screw is placed in such a way that it can be fastened manually," Mrosik uses an example to illustrate. Entire production chains can even be simulated.In the next step, the Plc code for production is generated automatically from these two digital twins and stored in the TIA portal; again a digital twin (for example a Simatic S7) is generated that controls the digital twin of the production. "This process saves 30 to 40% of the engineering time," explains the Siemens CEO. In the bill of process, a manual for production, it is then determined how the product must be built and only now is production carried out, monitored and the products checked for quality. The product and production data flow back into development via the Siemens IoT operating system Mindsphere in order to further optimize the product and production process.that controls the digital twin of manufacturing. "This process saves 30 to 40% of the engineering time," explains the Siemens CEO. In the bill of process, a manual for production, it is then determined how the product must be built and only now is production carried out, monitored and the products checked for quality. The product and production data flow back into development via the Siemens IoT operating system Mindsphere in order to further optimize the product and production process.that controls the digital twin of manufacturing. "This process saves 30 to 40% of the engineering time," explains the Siemens CEO. In the bill of process, a manual for production, it is then determined how the product must be built and only now is production carried out, monitored and the products checked for quality. The product and production data flow back into development via the Siemens IoT operating system Mindsphere in order to further optimize the product and production process.monitored and the products quality checked. The product and production data flow back into development via the Siemens IoT operating system Mindsphere in order to further optimize the product and production process.monitored and the products quality checked. The product and production data flow back into development via the Siemens IoT operating system Mindsphere in order to further optimize the product and production process.

The data flows seamlessly

In Hanover, Siemens uses milk production as an example to show how companies in the food and beverage industry can use this approach to react flexibly to market requirements such as the growing variety of flavors. The seamless data flow between all of the steps described enables the integration of PLM (Product Lifecycle Management), MOM (Manufacturing Operations Management) and TIA (Totally Integrated Automation) in the common collaboration platform Teamcenter.

The IoT operating system Mindsphere from Siemens plays an important role in this. "Industry of Things and data analysis will be big issues for many customers," says Mrosik. And once again emphasizes: "We can link the digital twin with the analysis data from the cloud." Connected to Mindsphere, enormous amounts of data can be evaluated quickly and efficiently and weak points identified. With new interfaces, apps and partnerships, for example with Bluvision, as well as the use of the cloud infrastructure and services from Amazon Web Services, Siemens is pushing ahead with the expansion of the ecosystem around the Mindsphere. "We consciously want to build an open ecosystem here," emphasizes Mrosik.

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On to new shores with digitization

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