Preventive Maintenance Blogs
Why Maintenance History Matters in PFMEA
Two of the three inputs behind every Risk Priority Number (RPN) are directly tied to what has already happened on your plant floor: Without a complete PFMEA maintenance history behind them, these scores represent little more than your team’s best guess. No matter how educated that guess is, having the right data will make their…
Read MoreWhat to Look for in CMMS Software for PFMEA
A process failure mode and effects analysis (PFMEA) requires reliable data in order to be useful for your team. Whether you are working manually or with automated tools, you’ll need: Without a system that captures and organizes all three, your PFMEA inputs are estimates. Finding the best CMMS software for PFMEA means identifying the specific…
Read MoreHow to Use CMMS for PFMEA
Most PFMEAs fail at execution. Teams working without the proper tools struggle with calculation, but implementation becomes near impossible when follow-through is not properly enforced. As a result, most successful PFMEA teams use computerized maintenance management software (CMMS) to execute PFMEAs. Understanding how to use CMMS for PFMEA means knowing which capabilities close that gap…
Read MoreHow to Conduct a PFMEA: A Step-by-Step Guide for Maintenance Techs
Recurring failures are typically an indicator of a bad process. A well-crafted process failure mode and effects analysis identifies workflow vulnerabilities before they create unplanned downtime. By contrast, a poorly formed process results in assets with inexplicably failing health and incomplete reporting. Understanding how to conduct a PFMEA is critical to ensuring a good process.…
Read More5 Biggest PFMEA Mistakes to Avoid in Maintenance
Most PFMEA failures stem from how your team conducts the analysis. Teams conduct a process failure mode and effects analysis with the right intentions, then undermine the results by skipping a step, relying on the wrong inputs, or letting corrective actions go unexecuted. Avoiding PFMEA mistakes requires more than understanding the methodology. It requires recognizing…
Read MoreEAM Workflows and Their Impact on Maintenance Speed
Maintenance work rarely stalls because of the tasks themselves. Instead, it stalls because a request is still waiting to be assigned or a technician needs asset history data before they can get started. Those missing steps in between represent key failures of workflow structure that interrupt the whole process. Enterprise asset management (EAM) software removes…
Read MoreFMEA vs PFMEA: What’s the Difference?
Failure analysis works best when you use the right tool for the right problem. Failure Mode and Effects Analysis (FMEA) and Process Failure Mode and Effects Analysis (PFMEA) are both structured risk assessment methods. Evaluating when to use FMEA vs PFMEA (or knowing when to use both) depends on whether you’re evaluating a design, a…
Read MoreWhy EAM Usability Is a Top Priority for Maintenance Technicians
EAM usability determines whether the system gets used or bypassed. When enterprise asset management (EAM) software processes don’t align with how your teams actually work, they become an obstacle. That results in work getting completed outside the system, further cascading into delayed, incomplete, or skipped data. In effect, the EAM’s intended value is built on…
Read MoreHow to Reduce Spare Parts Waste with EAM
Spare parts waste is a common data problem. Teams without reliable consumption data tend to over-order, leading to decisions that aren’t based on maintenance history. These estimations lead to parts being replaced when they don’t need to be or being under-ordered, causing repair delays. The result is that stock accumulates, expires, or becomes obsolete. Enterprise…
Read MoreWhy Predictive Maintenance Works Best with an EAM Platform
You invest in sensors and condition monitoring. Your team starts getting alerts, but ultimately not much changes. Failures still happen, alerts pile up, and consequently technicians stop trusting them. In the end, leadership starts asking why the ROI isn’t materializing. The problem usually isn’t the predictive technology. Rather, it’s that the technology is running in…
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