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novembre 26, 2021 - Siemens

Siemens combines the real and digital worlds to empower companies to act flexibly and sustainably

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  • Virtual event from Nov 22 to 26, 2021: Explore highlights in 3D and engage in dialog with #siemens experts
  • New products, services, and solutions from the #digital Enterprise portfolio enable more flexible production to adapt to rapidly changing requirements
  • Numerous practice-oriented exhibits and models visualize the #digital progress along the value chain

In line with the motto “Infinite opportunities from infinite data”, #siemens has organized its own virtual event within the scope of the SPS trade fair: It is the ideal setting to present new products, services, and solutions from its #digital Enterprise portfolio which enable customers from the manufacturing and process industries to respond to ever more rapidly changing market requirements and general conditions. To make this happen, #siemens combines the real and #digital worlds. Industrial enterprises can thus leverage the benefits of automation, electrification and digitalization in order to act both flexibly and sustainably while at the same time making extensive use of the #data generated. Using this link https://sie.ag/3qZY9iY, interested parties can register for the virtual event, enabling them to discover the topics in a virtual 3D showroom and join the dialog to extend their knowledge. The innovations and highlights on display include: the connection of drives to the #siemens Industrial Edge platform, an industrial 5G router for the control cabinet, as well as a software solution for the simulation of drives. In addition to new spare part management services and solutions and a B2B marketplace for industrial companies, we present an ecosystem-based approach for the exchange of emission #data.

In light of the fact that the supply chain accounts for the largest share of the ecological footprint of products, the decarbonization of industry is a challenge which must be tackled by all the stakeholders together. As a leading provider of automation technology and industry software, #siemens has launched an all-new solution for the efficient query, calculation, and transfer of information on the actual Product Carbon Footprint (PCF). SiGreen now makes it possible to exchange emission #data along the supply chain and combine it with #data from a company’s own value creation in order to obtain a product’s true carbon footprint. To achieve this, #siemens has initiated the open, cross-industry Estainium network with the aim of enabling manufacturers, suppliers, customers and partners to exchange trustworthy PCF #data. With SiGreen supporting companies in tracking their Product Carbon Footprint, they can take targeted reduction measures providing a quantifiable effect. CO 2 management supports companies on their way towards carbon neutral production and helps them to transform sustainability into a decisive competitive edge.

In the #siemens Industrial Edge sector, the company has established an independent, cross-manufacturer marketplace for industry customers. The marketplace serves as a transaction mechanism for #siemens Industrial Edge: an innovative IT platform which enables the scalable deployment of IT technologies on the shopfloor in a production environment. In addition to the #siemens Edge apps for the discrete and machine tool industries, third-party providers such as Braincube, Cybus, SeioTec and Tosibox have already started to list their products and services on the marketplace. Customers thus benefit from a broad range of software components, offered by numerous providers and manufacturers, which they can integrate into their manufacturing processes in a standardized manner. Today, the multifaceted offering already ranges from connectivity, #data storage, visualization and analysis right up to machine monitoring, as well as energy and asset management. As an open software platform, Industrial Edge thus provides the ideal basis for creating an Edge Computing ecosystem. 

Further information in the press release to download

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