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Automating the Collection of Machine Data into Oracle eAM

Posted on by Beth Hugill

The Oracle EBS eAM module has powerful functionality that can use asset data stored in machine controllers, historians and sensors to elevate your maintenance department into a best-in-class operation. This functionality can revolutionize the way your organization monitors and maintains asset reliability, but the process of collecting the data is painful. Maintenance teams resort to one of the following strategies to collect data from machines for analysis in eAM:

  1. Including collection plans with meter reading requests in your work orders. Frequently, collection of this data is ignored as your maintenance workers are strapped for time and under pressure to move on to the next job. If the data is collected, then someone on your team has the tedious job of manually entering the data into eAM.
  2. Heavily involving IT to write, maintain, and troubleshoot custom programs that import each controller’s proprietary data file into meter readings or collection plans

Scenario one is a very manual, multi-step process that often results in errors from transposed numbers or illegible handwriting. Scenario two places a heavy burden on IT not only to create but also maintain these custom programs to continuously push data into Oracle eAM. Many organizations entirely abandon the idea of using asset data to optimize maintenance because IT departments are already stretched thin and manual data collection is time-consuming and deprioritized.

Instead, the next best practice is to maintain assets on time-based estimations rather than actual usage. While this practice ensures regular contact with your asset, it can result in over- or under-maintaining of the asset which contributes to unpredictable maintenance costs, unanticipated equipment failure and unproductive maintenance teams.

DataVaya from STR Software solves these problems by automatically collecting asset data from your machine controllers, sensors and historians then imports it into Oracle eAM. This data can be used to populate meters and kick off preventive maintenance work requests if the meter exceeds a threshold.

In addition, data collected with DataVaya can populate collection plans for data analysis, giving you visibility into asset operating health. With DataVaya, not only can you determine exactly when your asset has hit 2,000 hours of use and have a preventive work order automatically kicked off, but you can also collect heat sensor or vibration data over time to learn the condition levels that indicate your asset needs maintenance.

The automated collection of asset data through DataVaya offers significant savings for your maintenance program. One of our customers determined that by eliminating the manual collection and entry of asset data, they save about $1000 in labor costs per asset each year. In addition, this customer now has a consistent flow of accurate data into eAM so they can create work orders based on data – not time.

In summary, DataVaya is an automated solution that integrates seamlessly with Oracle eAM to collect data from machines and deliver it to Oracle eAM. By making your asset data available to Oracle, your maintenance organization can harness eAM’s powerful workflow functionality. DataVaya bridges the gap between your assets and eAM so you get the most out of your investment in the eAM solution and extend the life of your assets.

To learn more about automatically delivering machine data to Oracle eAM with DataVaya, contact us here.


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