SA-95 is a standard thatโs often misunderstood, but incredibly powerful.
While many think ISA-95 is rigid or overly complex, it actually enables flexibility by:
โจ ๐๐๐๐ข๐ง๐ข๐ง๐ ๐ ๐ฌ๐ก๐๐ซ๐๐ ๐ฏ๐จ๐๐๐๐ฎ๐ฅ๐๐ซ๐ฒ for manufacturing concepts, creating a true ontology for your data.
โจ ๐๐ซ๐๐๐ญ๐ข๐ง๐ ๐ฌ๐๐๐ฅ๐๐๐ฅ๐ ๐ฉ๐ฅ๐๐๐๐ก๐จ๐ฅ๐๐๐ซ๐ฌ for every type of data, so you can start small and add new use cases later without rebuilding everything.
โจ ๐๐ซ๐จ๐ฏ๐ข๐๐ข๐ง๐ ๐ญ๐ก๐ "๐ฐ๐ก๐ฒ" ๐๐๐ก๐ข๐ง๐ ๐๐ฏ๐๐ง๐ญ๐ฌ, not just the "what," giving crucial context to your analytics and AI models.
But how do you move from theory to a practical, modern implementation?
In our latest AI in Manufacturing podcast episode, we explore exactly that with ISA-95 expert Jeroen Janssen, who is an MES/MOM Consultant at Rhize Manufacturing Data Hub.
In the episode, youโll learn:
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How to overcome a data culture that creates so many silos.
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The "use case stacking" method for a phased, value-driven implementation.
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What a native ISA-95 data hub looks like and how a graph database can bring it to life.
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Why this standardized approach is the key to unlo