SIEMENS is a large corporation with manufacturing companies (MANU-Co.) and thousands of customers of their products on one hand, as well as suppliers on the other. Thus, it will offer its own data on a single data space or marketplace supplied by i3-MARKET.
In this pilot, the protection of sensitive industrial information is the key. Therefore, the i3-MARKET solution should enable SIEMENS to explicitly consent to who can get access to its operational data, and also withdraw that endorsement at any time.
In addition, i3-MARKET will allow the marketplace (or data space) used by SIEMENS to function as a broker of metadata information and to establish dynamic and secure contracts in order to allow the flows of encrypted data.
The foreseen data volume currently is 5 billion inputs from different suppliers’ transactions.
The pilot will pave the ground for giving SMEs and large industries access to industrial metadata via a subscription model, while at the same time reducing the risks of unauthorised industries (i.e. lease and supply industries) when passing information to unauthorised supplier and manufacturers SMEs.
Therefore, it is expected that with i3-MARKET, a) the volume of offers from different provider industries will increase by 30%, b) the number of suppliers and manufacturing providers will define a competing pricing model that will bring a revenue of 20% to each subscription in the marketplace, and c) the timeliness and cost-efficiency of the manufacturing process will result in a 10% risk reduction.
Pilots Environment | The manufacturing pilot consists of data sources, a dataspace to collect and archive a data and a marketplace that is used for offering and sharing the data with data consumers. The marketplace is a web-based application which provides a user interface for data providers and consumers. It is based on the Web Reference Implementation that is developed in the i3-MARKET project. |
Use Cases |
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Industrial Data and Data Assets |
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The i3-Market project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no. 871754.