The Digital Asset Evolution: Harness computers to manage asset data through the entire life cycle

Written by  Treena Hein Monday, 30 July 2012
Enterprise asset management (EAM) is evolving fast. We’re now able to collect more conditions-based data on assets than ever before, but in order to make effective management decisions, we need to be able to integrate and analyze all this data. Plant engineers and maintenance leaders need powerful tools that incorporate conditions data with baseline operational data from asset manufacturers, information from installation contractors and more — tools that allow them to look at the performance of the asset from different angles, quickly alerting them to trends and filtering out the information that’s most critical.

Enter EAM software platforms, which can do all that and more. Using these programs is recommended in PAS 55 (the Publicly Available Specification: 55-1:2008 for Asset Management), which is rapidly being recognized around the globe as the best guidance for optimizing asset management (AM) systems and processes. “For asset-intensive businesses to effectively adopt PAS 55,” a recent PAS report states, “they need a standardized method for identifying, tracking and managing the condition of every known asset, managing risk before it becomes a problem, standardizing the asset-registry process and generating reports that show compliance to plans and strategic direction.”

While widespread use of EAM is still to come, PEM has sought out the perspectives of three providers about what these systems can provide, and how to best integrate the use of the software — from the day a piece of equipment is installed until it’s time to replace it.

Computing power
One of the most valuable aspects of EAM software platforms is their ability to analyze large amounts of data and provide solid automated AM decisions.

“We now have the convergence of real-time operational data from an asset — conditions monitoring data gathered with mobile devices or gathered automatically, and so on — with transactional data, which is baseline data indicating how a machine should optimally be performing,” says John Benders, vice-president of product management at Ventyx (parent company ABB). “We want companies to look at their production targets and how various assets support that, and based on that, what assets are considered critical.” Unexpected downtime with these assets must be avoided, and he says EAM software is the best way to assess their condition and manage them appropriately. “The power of such software is found is its ability to focus in on which parts of the information coming in is critical, and pick up on the important trends,” he notes. “It’s not just about gathering more data, but analyzing it efficiently.”

Kevin Price agrees the data-integrating power of EAM software is what makes it worth integrating. “When an asset is commissioned, it is relatively easy to keep it running and thoroughly maintained for the first while, but efficiency declines,” says the director and senior product manager for Infor’s Infor10 EAM software product suite.

“Preventive time-based work orders ‘reenergize’ the asset, but EAM software allows you to go beyond this. It will integrate and analyze everything, and may determine that preventative maintenance should be accelerated.” He calls this next level of AM ‘predictive,’ where preventative maintenance schedules are integrated with analysis of heat/vibration/oil, ongoing inspection and assessment data, power consumption anomalies, and manufacturers’ specifications.

“The result of the software’s use is that theoretically, the asset will run as it was when it was first operated,” Price notes, “which is the ultimate achievement.”
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