Digital Europe Programme explained: the data space for manufacturing


As part of the Digital Europe Programme, the European Commission aims to set up common European Data Spaces. These data spaces will each have a specific sectoral focus. In a series of news pieces, we will showcase each of those sectoral data spaces. In this article, we dive into the data space for manufacturing.

In general, the data spaces will connect currently fragmented and dispersed data from various ecosystems, from the private and public sectors. They will offer an interoperable, trusted IT environment for data processing, and a set of rules of legislative, administrative, and contractual nature that determine the rights of access to and processing of the data.

Manufacturing data and its AI-based analytics have great potential for optimisation applications and can improve both internal and cross-organisational processes.

With the deployment of two data spaces of the manufacturing industry, the European Commission aims to unlock this potential by enabling manufacturing companies and (service) providers to exchange information, increase the opportunities for value-added services, and support the transition towards a circular economy.

More specifically, the preparatory actions for this data space need to:

  • Perform agile supply chain management and execution by continuously monitoring and exchanging status data on purchase orders, sales orders, inventory levels, order progress, demand forecasts, raw materials, chemicals and energy use and supply, etc. across the value chain. 
  • Carry out dynamic asset management and predictive/prescriptive maintenance by continuously monitoring and exchanging data on machine status, breakdowns, downtimes, service orders, etc.

In addition, the actions need to take care of the following mandatory activities:

  • Bringing together relevant stakeholders to industrial data agreement(s) on design, reuse, recycling, and environmental impact and indicators for continuous monitoring and exchange of data on product performance and reuse, material content and origin, feedback to design, product recycling, product remanufacturing, etc. The work should demonstrate data-based sustainable business models and the benefits of data sharing for the organisations in the value chains.
  • Carrying out further actions needed to effectively track and report resource use (e.g. CO2) from a manufacturer’s perspective.

Curious to learn more? Access the Digital Europe Programme

Stay tuned for the next news piece on the data space for agriculture.

Digital Europe Programme explained: the data space for manufacturing
Image credit:
2020, Josh Beech via Unsplash

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