Overall Equipment Effectiveness (OEE)

OEE (Overall Equipment Effectiveness) measures how well manufacturing is engaged, during designated time periods, compared to its full potential. Measuring OEE is a manufacturing best practice that identifies underlying losses and provides essential insights into how to improve manufacturing processes. 

This measurement identifies the percentage of time that is truly productive. An OEE of 100% reflects the best of three main criteria – quality, speed, and capacity. Getting production closer to 100% is a goal of every operator and manager, and a process that needs support. That’s where CADDIS comes in as a unifying management tool to collect data from all brands and types of machines and provide a total ‘apples-to-apples’ view of true performance. 

CADDIS offers robust analytics and powerful insights that drive informed decisions, plus easy installation with dedicated technical support (including onsite). CADDIS Systems is based in the USA and offers superior customer service. Empower your shop floor with the CADDIS OEE System.

Contact us today to book a demo or to request a free trial and on-site training.

Take advantage of trialing CADDIS Systems at your location or multiple locations for one month at no cost. During the trial phase, you will receive all the support you need to fully integrate CADDIS into your environment and feel confident that your assets are protected. 

The system can be set up in minutes:

  • Power up device
  • Connect  device to network
  • Provide input signal
  • Log in to dashboard
  • Start monitoring facility

The cost to integrate CADDIS Systems into your company is minimal when compared to the lost revenue due to machine shutdown. Below is a cost breakdown. For a FREE Demo contact us today.

Device Cost: $2,000 per device (One time)

Data Storage & R&D Cost: $300 (per year)

No license fees, no seat fees, no software fees, and free remote support with low-cost on-site support available.

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Phone: 563.551.6418
Fax: 563.332.9868

Caddis Systems


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