As the late Peter Drucker once said, “If you can’t measure it, you can’t improve it.” This is a great concept, and one that is crucial to maintenance. After all, how can you continuously improve and sustain effective maintenance processes if you are unable to effectively gauge and compare performance in terms of meeting strategic and operational goals.
You do everything right. You measure everything. You track everything thoroughly and precisely. This includes, but is not limited to, Mean Time to Repair (MTTR), Mean Time Between Fail (MTBF), Overall Equipment Effectiveness (OEE), Preventative Maintenance Compliance (PMC), and Planned Maintenance Percentage (PMP).
You name it, you measure it.
You are diligent about reliability practices. You work hard to improve maintenance processes to prevent failures. You work hard, period. And yet, you are a victim. You are a victim of poor quality asset and maintenance data in your EAM system. After all, how good are KPIs if they measure the performance of assets that don’t even exist? How can you improve your mean time to repair if you are stocking the wrong parts? How can you increase preventative maintenance compliance if you have no maintenance data for your equipment? How can you increase availability if you don’t know where your critical spare parts are stocked? How can you improve your Planned Maintenance Percentage if your work orders contain useless or incorrect information?
The reality is that no matter how good data is when first built, it degrades over time, as assets are replaced and as maintenance practices change. Most companies live with incomplete and inaccurate asset and maintenance data on an ongoing basis. What a waste of time and money! Without an adequate data foundation, CMMS and EAM systems will fail to deliver their expected value. It is simply not possible to be strategic, and continuously improve maintenance operations without assurance that decisions are based on data that is valid and fit for purpose. And, simply put, without a strong data foundation, tracking KPIs is a meaningless exercise.
We Can Help
NRX AssetHub provides many solutions to improve the quality of your data so that KPIs can be based on accurate information necessary to track progress. We provide maintenance and reliability professionals at asset-intensive companies with world-class software solutions for analyzing, visualizing, building, editing, organizing, approving, and sustaining high-quality asset and maintenance data for their EAM and CMMS systems. We act as a staging platform where asset and maintenance data can be loaded into and gaps and inadequacies can quickly be identified and repaired. Upon completion, high-quality validated data can then be iteratively deployed back into your EAM system.
So, you know you have data quality issues and are looking for solutions? Why not start by letting us evaluate some of your data to help you understand how extensive your data problem is? We would love to help in any way possible.
Webinar | Tackling the Big Three Maintenance Master Data Quality Issues
Greg Dee, President at HubHead Corp., sits down with members of VIZIYA to discuss practical solutions to tackle your maintenance master data quality issues. The three big culprits: asset hierarchy, task lists, and work order types.
Webinar | Achieving CMMS Data Quality
Join Paul Peterson and David Hattrick as they discuss the effects of bad CMMS data on the maintenance organization. Discover best practices to help you easily find and fix data quality issues.
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