Spot 4 Red Flags in Your Maintenance Data—and 33 Proven Fixes
Data doesn’t always paint a pretty picture
The end of the movie The Big Short is a big downer. The main characters come out on top. They’re rich. They’re proven right. They get everything they wanted.
But while they celebrate, the world descends into chaos. It finally dawns on them—their success will mean disaster for millions of others.
The main characters are spared the catastrophe because they saw the collapse of the housing market years before everyone else. They recognized the red flags in the data. They trusted numbers over guesses, gut feelings, and assumptions.
What does this mean for maintenance teams?
Somewhere within your maintenance data is a tiny alarm bell ringing. It’s telling you that there’s something wrong with your equipment or processes. Silencing that alarm bell now, while it’s faint, is essential. By the time it gets loud enough to be obvious, disaster has struck. That means broken lines, stalled production, high costs, missed orders, and lots of unhappy people.
But your data is a haystack and those warning signs are a needle—they’re hard to find. That’s why this article is about using maintenance data to pinpoint small issues before they get too big.
Use this template to help you track key maintenance metrics in one place
But first, when is a problem worth your time?
Let’s face it—something will always be broken. A machine that could run better. A component that should be swapped out. The savviest maintenance teams separate the truly troubling from the minor inconveniences and spend their time on the former.
That’s why there are two questions to ask when you find a worrying number in your data:
- Is this a one-off anomaly or a trend?
- If it’s a trend, how soon should we address it?
“You don’t want to go down a rabbit hole and spend a ton of resources just because you bought one bad controller,” says Mike Cooper, a former engineering manager and current Solutions Engineer at Fiix.
Obviously, your first priority is whatever is stopping the line right now. But when that’s fixed, you need to figure out if you’re going to continue fighting that fire or direct your resources somewhere else.
Here’s a handy flow chart to help you make that decision:
Four troubling trends in your maintenance data and 33 ways to fix them
#1: Rate of corrective work orders issued
What to watch for
An increase or decrease in corrective work orders on an asset. An uptick in corrective maintenance often means equipment is breaking down more than expected. A drop in this number can signal that you’re spending unnecessary labor hours on a task or are missing problems.
What’s causing the problem and what to do about it
If you’re seeing an increase in the rate of corrective work, the culprit is usually in this list:
Primary cause
Root cause
Potential solutions
If the rate of corrective maintenance on an asset drops, make sure it’s not because of these hidden problems:
- Inspections are too close together: You might be spending budget and labor hours on unnecessary preventive maintenance. Maybe you inherited this overstuffed schedule or based it on ultra-conservative OEM recommendations. Whatever the reason, try reducing the frequency of inspections or cutting tasks. You’ll likely gain time in your team’s schedule while seeing no increase in corrective maintenance.
- Inspections aren’t catching a problem: There might be an issue simmering inside an asset, but regular checks are missing it. It hasn’t caused a breakdown…yet. Make sure inspection instructions are clear, complete, and specific. Plan for the worst. Kit parts for corrective maintenance and create guidelines for emergency work. If a breakdown is coming, you can react quickly and address the root cause after.
Check out these seven steps for creating a maintenance analytics program from scratch
#2: Amount of time an asset is offline
What to watch for
An asset that’s offline longer than usual or an asset that hasn’t been offline for a while. If an asset is offline for long periods, your team might be struggling to manage a particular failure. Equipment that doesn’t go offline for long stretches is probably not getting the maintenance it needs. This could have it on the brink of a huge, disruptive failure.
What’s causing the problem and what to do about it
Primary cause
Root cause
Potential solutions
Check out 10 underrated metrics that maintenance teams should be tracking
#3: Maintenance costs
What to watch for
Maintenance costs that are higher than expected for an asset. It’s always useful to look at what costs are driving the increase, whether it’s labor, parts, or other resources. You can’t always avoid higher costs (inflation is never fun), but it could mean persistent problems with a machine or process. On the other hand, spending less is notable for different (and better) reasons.
“The mark of a good maintenance program is spending less,” says Kathir Haran, P.Eng, a Solutions Engineer at Fiix with over 10 years of experience in reliability engineering.
It means you’re freeing up hours for production. It’s something the maintenance team can point to and show it drove a meaningful improvement.
What’s causing the problem and what to do about it
Primary cause
Root cause
Potential solutions
#4: Production levels
What to watch for
“It’s simple—if you’re consistently not meeting your production goals, there’s something wrong,” says Thibaut Drevet, MSc, a Senior Solutions Engineer at Fiix and former process engineer.
It’s all about how many items you produce every day. If it’s not on target, maintenance has some responsibility for that. There needs to be that connection between maintenance and production.
What’s causing the problem and what to do about it
Primary cause
Root cause
Potential solutions
Read five ways maintenance teams can help increase production efficiency
How NOT to spend hours searching for this data
Analyzing maintenance data is a marathon. This article is about the last couple of miles of that race—the part where you’ve already collected the data, set baselines, created reports, and reviewed the numbers. It certainly doesn’t cover everything that happens before you set foot at the starting line, like setting up the right culture, systems, and processes to get the data.
There’s a reason people don’t run marathons or build great maintenance analytics programs—they both take a long time and involve a lot of pain.
But what if you had a shortcut? A way to cruise through the training and the first 25 miles of the run? Luckily, we created one.
It’s called asset insights and it’s part of Fiix Foresight, Fiix’s set of AI-powered tools for maintenance teams. Asset insights examines all past work orders for a piece of equipment and learns how it normally operates. That includes everything from how many parts it uses to how much maintenance typically costs, and how much of the work is corrective. It then alerts you if you are over or under these benchmarks.
Asset insights shows you the telltale signs of asset failure and broken processes in seconds so you don’t need to scroll through an endless spreadsheet or spend hours creating reports. It’s your shortcut to more productive assets, a less crowded schedule, and a healthier bottom line.
If you want to learn more about asset insights, check out the Fiix Foresight page.
Equipment Maintenance and Repair
- Benchmarking Lubrication Performance to Boost Reliability and Cut Costs
- Iggesund Paperboard Cuts Costs with Emerson’s Predictive Control Valve Diagnostics
- Professional Fanuc PLC Repair & Troubleshooting Services
- Truck Winterization: A Comprehensive Step‑by‑Step Guide
- Former Intel Engineer Shares Proven Root Cause Analysis Techniques
- Hydraulic Component Wear: 6 Key Causes and How to Prevent Them
- Mobile Collaboration: Reducing Maintenance Downtime and Boosting Global Operations
- Expert Fanuc Power Supply Repair Services
- Maintenance Best Practices to Boost Overall Equipment Effectiveness (OEE)
- Mastering Total Productive Maintenance: A Step‑by‑Step Guide for Plant Leaders