Semiconductor manufacturers want to quantify manufacturing production losses and improve revenue. To do this, they need to understand Overall Equipment Effectiveness (OEE) across semiconductor manufacturing sites. However, it is difficult to gather and standardize OEE data across assets at a site. Overall Equipment Effectiveness solutions on AWS provide cloud-based OEE data management and predictive analytics to help meet semiconductor production key performance indicators (KPIs). These KPIs help you identify bottlenecks, monitor asset utilization, predict equipment downtime, and maximize production.

Partner Solutions

Software, SaaS, or managed services from AWS Partners

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  • Databricks Overall Equipment Effectiveness Solution Accelerator

    Achieve performant and scalable end-to-end equipment monitoring on top of the Databricks Lakehouse platform with this pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook.
  • Snowflake AI Data Cloud

    Snowflake eliminates data silos to deliver a unified platform that makes data and AI easy, efficient, and trustworthy.
  • TIBCO Spotfire

    Connected, intelligent, scalable analytics on Amazon RDS that help you take faster, smarter actions. Spotfire deployed on AWS with Amazon RDS means you have a database that's easy to deploy, highly available and with strict availability and performance requirements serving your Spotfire user base.
  • Seeq

    Seeq's extensive support for time series data and its inherent challenges enables process engineers, managers, teams and data scientists to derive more value from data already collected by accelerating analytics, publishing, and decision making.
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