By tracking downtime and making this data actionable, you will find yourself in a better position to make smart decisions about your maintenance strategy.
Many organizations have invested in digital solutions to gather asset data, analyze real-time data, and share this information on a centralized dashboard. Two commonly used technology platforms are a Computerized Maintenance Management System (CMMS) and an Enterprise Asset Management (EAM) system.
A CMMS is used to manage all phases of asset management including preventive, predictive, corrective, and recovery actions. It provides detailed information about the health of each component and helps identify potential issues before they become problems.
An EAM system is another tool that focuses on the operational aspects of asset management, including monitoring the performance of your machines and understanding what is happening when things go wrong. EAM systems collect data from sensors installed on machinery and other sources to figure out if something is broken. It is highly effective for supporting ambitions around preventive maintenance and for ensuring asset stability.
Data collection tools for tracking downtime
A great benefit of CMMS and EAM systems is that all this data is tracked and backed up for future reference, regardless of who is operating or working on a machine. However, a critical point to remember is that these data points should have standardized naming conventions and open fields should be limited as much as possible. The more exact historical data that is collected on these systems, the easier it will be for maintenance to collect failure data to track down problematic trends.
This information can then be summarized in a report used to establish key maintenance metrics. For example, if we isolate failure, we should know an asset’s:
These can be used as KPIs (Key Performance Indicators) and influence benchmarks to track the impact of maintenance strategies or objectives.
By this point the benefit of tracking downtime is apparent. However, knowing the data points to track and implement a CMMS or EAM system is only half the journey. One must put this knowledge to use and connect the dots between people, processes, and tools that help strengthen an organization’s maintenance strategy.
A data-driven maintenance approach can lead to improved productivity, increase in revenue and profitability, and improve customer value.