The Big Data Value Association (BDVA) Smart Manufacturing Industry group released the second version of the white paper “Big Data Challenges in Smart Manufacturing Industry” outlining the challenges for a full adoption of big data technologies. The IDS reference architecture is recognized as a prominent solution that could evolve into a fully-fledged data sharing space.
The BDVA divided the challenges into perspectives on Smart Products, Smart Factories and Smart Supply Chains and look at non-technical challenges like regulation, skills and Business Models but also and technical challenges and innovations.
Seamless integration of smart products
The Smart Product Lifecycle scenario states the highest priority for product, service and data interoperability. This is of course a high need for easy and seamless integration of the various aspects of Smart Products (refer also to Michael E. Porter and James E. Heppelmann article “How Smart, Connected Products Are Transforming Competition”). A similar need is stated with a high priority for the Smart Supply chain, the vertical integration in supply chains to achieve interoperability between the actors and the system along the supply chain. For the Smart Factory, the need for security and data integrity is prioritized high.
From an IDSA point of view it is remarkable, that IDS is recognized as highly innovative trend towards digital Europe in conjunction with the need for European Data Spaces.
Find the report “Big Data Challenges in Smart Manufacturing Industry” here.