Data platform

New fabs and innovation centers are being announced across every major region and the pressure to move from experiment to production is intensifying. Yet for many semiconductor R&D labs and emerging fabs, the systems meant to support that transition are working against it.  

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)?

How the MES alleviates electronics manufacturers challenges through better integration and connected orchestration.

MedTech’s that are using M&A as a strategic initiative need to consider data management integration to achieve Industry 4.0 transformation.

Medical device manufacturers face a unique set of challenges where data and its management are concerned from an Industry 4.0 perspective.

Medtech are not only in response to a temporary market shift, but reflect a fundamental change in the way supply chains and demand will perform in the future.

While there are clear areas of convergence in terms of end use and performance among some electronic wearables and medical devices, it is important for EMS providers to understand that when it comes to the manufacturing of health monitoring electronic devices, similar (or the same) regulations affect the way a manufacturing process is configured, documented and validated.

Predictive Maintenance becomes a strategic initiative in a highly complex, automated semiconductor fab. Predictive Maintenance equips process owners and maintenance personnel to proactively detect equipment-related issues before there is a breakdown, allowing owners to eke out the last bit of performance. Production and schedule adherence are protected, and unplanned stoppages avoided. 

Electronics manufacturers feel the pressure to modify design functionality to account for component shortages. information silos prevent scaling and free flow of data from assembly lines to shop floor to enterprise, and then out to value chain partners.