What Does the Future of Reliability Look Like?
However, the limited focus of CMMS leaves gaps that require organizations to use other software tools to effectively manage a facility’s assets. Reliability data not typically managed within a CMMS include operator rounds, predictive maintenance results (e.g., vibration analysis, oil analysis, thermography), inspection results (e.g., internal and external inspections, thickness readings) collected as part of a Mechanical Integrity program, project management functionality, human resource management functionality, root cause analysis results, process historian readings, and laboratory sample results.
EAM systems also have limitations. While they manage maintenance activities, they don’t quantify how the activities contribute to reliability. Because of this limitation, they do not allow users to optimize activities that maximize reliability alone.
Owners of complex manufacturing systems are constantly trying to make better and faster decisions to improve reliability and maintenance. However, to make those decisions, they must work through millions of pieces of data that are stored separately—for example, in CMMS, Inspection Data Management System (IDMS), and Asset Performance Management (APM) programs. Today’s problem is not whether you have data but how you connect and use your data. Fortunately, the industry is continuing to see major advancements in data collection, organization, modeling, and analytics. With these capabilities in mind, we have the opportunity to take the next leap in reliability analysis, allowing us to improve reliability further while decreasing total lifecycle maintenance and inspection spend.
We believe this leap is made possible through Quantitative Reliability Optimization (QRO). QRO is an approach that connects every data point and analyzes the data to generate the most advanced, accurate, and current risk model to date. It enables system-based strategies—meaning you can prioritize actions across your entire facility based on current market conditions, availability goals, and/or budgetary constraints.
QRO can be used to harness more value from your CMMS or EAM software by connecting CMMS/EAM data to other useful data and systems, providing you with increased business intelligence. CMMS and EAM systems alone can still help you maximize production and reduce costs. However, QRO delivers a more holistic view of your assets’ health and further optimizes your maintenance activities by connecting all your asset data and allowing you to visualize key performance indicators (KPI) such as availability, risk, and cost. QRO can also simulate multiple asset management plans to develop the best path forward across units, facilities, and enterprises.
By better connecting asset data within one system, this next step in maintenance management provides for ongoing continuous improvement using the actual data from your facility, which will help you increase availability and decrease life cycle costs.
Learn how Quantitative Reliability Optimization (QRO) can help you leverage more value from your CMMS/EAM system.