Predictive Maintenance Blogs
How LLumin CMMS+ Software Supports PFMEA Tracking
PFMEA tracking does not end when the analysis session closes. It ends when every corrective action is assigned, completed, and confirmed to have reduced failure rates on the plant floor. Most facilities do the first part well. The second part is where findings get lost. You need a system that takes every risk identified in…
Read MoreChapter Four: Moving from Condition-Based to Predictive Maintenance with AI
It’s Not Just About How Much Data You Have Once you get started with condition-based maintenance, it’s easy to refine your alert rules, scale across assets and sites, and consistently build out a substantial set of data history. You can then use this level of scale to move towards predictive maintenance models and outcomes. But…
Read MoreChapter Three: How to Get Started with Condition-Based Maintenance
The Road to Predictive Maintenance Starts with a Few Simple Steps One of the biggest hesitations around predictive maintenance is the assumption that it requires full AI transformation. Technicians typically report concerns around: But in practice, all you need to do is start with clearer use of the condition signals you’re already collecting. When these…
Read MoreChapter Two: What Predictive Maintenance Looks Like with CMMS
The Difference Between Collecting Data and Improving Decision Making Most facilities already collect asset data. So why do only 35% of maintenance professionals report using sensors and Industrial Internet of Things (IIoT) data extensively? That’s because there’s a difference between collecting data and using it to improve your asset maintenance strategy. All the temperature, vibration,…
Read MoreChapter One: Why Calendar-Based Preventive Maintenance Isn’t Enough
What You Gain in Simplicity You Lose in Efficiency Planning asset maintenance on a fixed, recurring basis is simple and easy to scale. All it takes is a mark on a calendar or a quick reminder on your maintenance tracking software for technicians and leadership to see the forecasted workload. That’s why calendar-based maintenance is…
Read MoreHow to Use Machine Failure Data to Avoid Future Breakdowns
Eliminate Unnecessary Downtime with LLumin CMMS+ Every time an asset fails, it costs you precious time and money. But the most successful maintenance teams also see machine failure as a golden opportunity for improvement. That’s because each worn bearing, seized pump, and burnt-out motor produces valuable data. And you can use that machine failure data…
Read MoreWhy 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 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…
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