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Dr Werner Lohwasser, CEO and COO of TDK Electronics, shares insights on modernizing fragmented operations across 20 Manufacturing Sites.
AI pilots demo well but fail to scale because they connect directly to operational data instead of a governed execution layer.
If you had to build your manufacturing execution platform from scratch today, unconstrained by what you inherited, what would you build?
Manufacturing Execution Systems (MES) are foundational to modern high-tech manufacturing. For manufacturers operating in domains supported by Critical Manufacturing MES, including semiconductors, electronics, medical devices, and industrial equipment, implementation is not simply an IT rollout.
Imagine asking your manufacturing data a question the same way you would ask a colleague: “What happened during the night shift that I need to know about?”
The ultimate expression of manufacturing intelligence: the Enterprise Data Platform (EDP).
While your competitors manage individual manufacturing sites, you are about to orchestrate a global manufacturing intelligence network.
In this second article, we will examine how CDM seamlessly connects to one of manufacturing’s most transformative architectural patterns: the Unified Namespace (UNS).
This is the first article of a series on how Critical Manufacturing is democratizing manufacturing data analytics. We start with insights on the Canonical Data Model and how we built it to give data the value manufacturers need.
This article outlines some common pain points observed across SMT operations, proposing a framework for achieving seamless, future-ready integration as part of a fully connected factory.
