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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.
The manufacturing floor is undergoing a digital revolution, and at the forefront of this change is the emergence of AI Copilots.
When global manufacturers evaluate their enterprise analytics strategy, they face a critical decision: build a custom solution on a generic data platform like Snowflake, Azure Synapse, or Databricks, or invest in a purpose-built manufacturing intelligence platform like Critical Manufacturing’s Enterprise Data Platform (EDP)?
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.
In the highly regulated world of industrial manufacturing, compliance with stringent regulatory standards is not just a recommendation – it’s a necessity. One of the most important regulations for companies that maintain records or submit information electronically in the pharmaceutical, medical device, and other regulated industries is FDA’s 21 CFR Part 11.
The Medical Device industry is uniquely complex. It incorporates a wide variety of processes from injection molding to semiconductor deposition and lithography. This diversity creates opportunities but also introduces significant challenges, especially in a highly regulated environment.
