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Karen Rossi : Author Archives

The Role of Predictive Maintenance in the Pharma Industry

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On a pharmaceutical production line, a small equipment problem can quickly become a quality event. A failing pump, unstable temperature loop, or drifting sensor can interrupt a batch, trigger an investigation, or delay release. The repair is only the beginning. Other costs may include scrapped material, investigation time, compliance work, and production delays. Predictive maintenance…

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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…

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How to Implement PFMEA Findings for Maintenance

A completed process failure mode and effects analysis is only as valuable as what you do with it. Most industrial operations conduct thorough risk assessments, then struggle to translate those findings into daily maintenance work. When you understand how to implement PFMEA findings, you close the gap between theoretical risk evaluation and physical corrective action…

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How CMMS Asset Failure Trend Analysis Improves PFMEA

A bright green and dark blue title card reading “Why Maintenance History Matters in PFMEA” with the LLumin logo featured at center right.

A single breakdown tells you that something failed. A trend tells you whether it’s going to keep failing, how frequently, and what it costs every time it does. That distinction separates a reactive maintenance record from the kind of PFMEA failure trend analysis that actually improves risk assessments. RPNs are inherently more accurate when they’re…

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5 Biggest PFMEA Mistakes to Avoid in Maintenance

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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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How EAM Software Solutions Improve Cost Control

A bright green and dark blue title card reads “How EAM Software Solutions Improve Cost Control” with the LLumin logo

Maintenance costs are difficult to manage when they can’t be clearly attributed. Without a system linking each cost to a specific asset, work order, or maintenance type, total spend remains a lump sum. When budgets run over, the cause is hard to diagnose. Similarly, the driver is difficult to identify when costs are trending upward.…

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How Automated EAM Data Analytics Helps Identify Failure Trends

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Your operation is always generating failure data, but statistics indicate that only about 44% of it is used correctly. That’s not because it’s missing, but typically because it isn’t connected for a proper analysis. Most often, that’s because most of this data is stored in different systems. Enterprise asset management (EAM) software solves this problem…

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Improve Mean Time Between Failures with EAM Software

A bright green and dark blue title card reading “Improve Mean Time Between Failures with EAM Software” with the LLumin logo featured at the bottom

When an asset fails, the natural response is to fix it and move on. When the same assets keep failing, it stops being about the repair and becomes more about the maintenance strategy. Mean time between failures (MTBF) measures how long your equipment operates between unplanned breakdowns. A low MTBF indicates that your current approach…

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What AI Can (& Can’t) Do for Your Maintenance Team

A bright green and dark blue title card that reads “What AI Can (& Can't) Do for Your Maintenance Team” with the Llumin logo

AI is a powerful maintenance tool, but it isn’t magic. Studies show that properly implemented AI predictive maintenance reduces equipment failures by 73%, leading to cascading reductions in costs (10-40%) and downtime (up to 50%). On the other hand, very few AI initiatives (about 16% total) successfully scale across the enterprise, which draws some clear…

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How to Prioritize Assets for Preventive Maintenance

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Not all assets are equally important, yet many maintenance teams still treat them as if they were, spreading limited resources across every piece of equipment regardless of their actual criticality or impact. Prioritization transforms maintenance from reactive scrambling into strategic risk management by directing effort toward assets where failure carries real operational, financial, or safety…

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