Every mine has one. The wheel motor that comes off the same haul truck every three months. The hydraulic cylinder on the loader that's been "repaired" four times this year. Everyone on the crew knows which machine it is before the work order even prints. Chasing that same failure with the same repair isn't maintenance — it's just paying the same bill on a loop. A mining defect elimination program is what stops the repeat, because it treats the fourth failure as a signal to investigate, not a routine job to close out.
Fixing It Again Isn't the Same as Fixing It
A repair closes a work order. A mining defect elimination program closes the cause behind it — so the same part stops showing up on the same machine, month after month.
A small number of chronic "bad actor" components is usually responsible for most of that lost time — the same handful of parts across the same handful of machines. Defect elimination is the discipline of finding that short list and actually removing it, instead of restocking it. Below is a practical framework for building that program — book a demo to see how HVI tracks failure history down to the component so the pattern shows up before it costs a shift.
Repair Fixes the Machine. Defect Elimination Fixes the Reason.
Most maintenance shops are good at repair — a good technician can get a haul truck back on the road fast. The gap isn't skill, it's scope. A work order asks "what's broken and how do I fix it." A defect elimination process asks a second question afterward: "why did this fail again, and what has to change so it doesn't." Skip that second question often enough and your maintenance team spends its whole week re-solving problems it already solved.
- Wheel motor fails, gets swapped, truck rolls out
- Same motor fails again in 10–14 weeks
- Parts spend and downtime both repeat quietly
- Nobody owns "why," only "fixed"
- Third failure on the same asset/component flags as a bad actor
- Investigation looks at design, load, install and operating condition
- A permanent change — design, spec, procedure — is applied and tracked
- Performance is verified over months, not one clean inspection
Step One: Find the Bad Actors Before You Chase Anything Else
You can't run defect elimination on every fault your fleet throws — most defects are genuinely one-off, and treating every one as a reliability investigation just burns your engineers' time. The program only works if it's aimed at the right handful of assets and components. That means ranking failures, not just logging them.
- 1
Pull failure history by asset and component
Not "how many work orders this month" — which specific component, on which specific machine, keeps coming back. A dozer alternator failing three times across three different trucks is a supplier problem. The same wheel motor failing three times on one truck is an application problem.
- 2
Rank by frequency and cost, not just count
A part that fails often but is cheap and quick to swap may not be worth a full investigation. A part that fails twice a year but takes the machine down for three days each time might top the list even at lower frequency.
- 3
Set a threshold for "chronic"
Most programs use something like three occurrences on the same asset/component within twelve months. Below that line, it's routine maintenance. Above it, it goes on the bad actor list and gets a named owner.
Book a demo to see HVI's failure history and defect trend analytics built for exactly this — pulling failure records by asset and component automatically instead of someone reconstructing it from six months of paper work orders before the list can even be built.
Step Two: Investigate Past the Broken Part
Standard incident root cause analysis usually stops at "what broke and what caused it to break this time." Defect elimination has to go a layer deeper, because the same broken-part answer keeps showing up. If your RCA report says "seal failed due to contamination" for the third time in a row, contamination isn't the root cause anymore — it's the symptom of something upstream that hasn't been looked at yet.
Design fit
Was the component ever rated for this duty cycle, load, or site condition — or was it a factory default nobody re-checked?
Application
Is the part being asked to do something outside its intended use — the wrong duty cycle for this haul profile, this grade, this material?
Installation practice
Same torque spec, same technician, same shortcut every time? A recurring install habit produces a recurring failure just as reliably as a bad part does.
Operating condition
Dust, heat, vibration, an operator habit picked up from a prior machine — the environment the part actually runs in, not the one it was specified for.
Step Three: Match the Fix to What You Actually Found
Not every chronic defect needs an engineering overhaul, and treating every one like it does is how reliability programs stall out on cost and time before they prove any value. Pick the smallest change that actually addresses what the investigation found — and be honest that sometimes that's a procedure, not a part.
Design modification
The component itself is under-specified for the job — upgrade the part, the material, or the design, and document why.Material or supplier change
The spec is right but the source isn't holding up — a supplier or material swap that meets the same spec more consistently.Application change
The part is right but it's being run outside its intended use — reassign the duty, the route, or the load profile.Procedure change
The install or service step itself is the variable — a revised torque sequence, cleanliness step, or checklist item is often the cheapest fix that actually holds.Operator practice change
A habit picked up on a different machine or site is stressing this one — retraining, tied to the specific failure it's meant to stop.Interval change
The part is fine, but the PM interval isn't — tighten or shift the schedule to catch wear before it becomes a failure.Whichever route it is, it should come out of a corrective action logged against the specific bad actor, not a verbal decision in the shop that nobody writes down — book a demo to see that logging in HVI.
Step Four: Treat a Design Change Like the Engineering Decision It Is
The moment a fix moves from "swap the part" to "change the spec, the design, or the procedure," it stops being routine maintenance and becomes a modification — and modifications need their own paper trail. Skip this step and you end up with three different versions of the "fixed" component running across the fleet, none of them documented, and no way to tell which trucks actually got the change. Sign up free and set up an asset record that carries this history forward before the next modification gets decided verbally in the shop.
- 1Proposed — the change, the reason, the failure it targets
- 2Assessed — engineering sign-off, any warranty or OEM impact
- 3Approved & applied — rolled out to every affected asset, not just the one that just failed
- 4Documented — which serial numbers have it, and which don't yet
Step Five: Prove It Worked — With Time, Not a Feeling
The most common failure point in a reliability improvement program isn't the investigation, it's the follow-up. A fix goes in, the machine runs clean for six weeks, and everyone quietly assumes it's solved. Then it fails again in month four and the whole thing gets written off as "we tried that already." Verification has to run at least as long as the original failure interval was — if the part was failing every 10–14 weeks, six clean weeks proves nothing yet.
Once verified, that before-and-after performance data is worth sharing past the one site it was found on — book a demo to see how HVI surfaces that data for the same wheel motor, brake system, or alternator failing the same way on a sister machine two pits over that just hasn't hit the threshold yet.
From a Reliability Lead Who Stopped Reordering the Same Part
We had a wheel motor on one haul truck that we'd swapped four times in fourteen months. Every time, the work order said the same thing — bearing failure, replaced, returned to service. Nobody had ever pulled all four work orders side by side until we started tracking failures by component instead of just by machine.
Turned out it was a loading pattern specific to that route, not a bad batch of motors. Changed the haul assignment and tightened the interval on that unit. It's been eleven months without a repeat. I don't get to say that about many "fixes" — usually I'm just hoping it holds. This time I actually watched the data prove it.
Self-Audit: Is Your Defect Elimination Program Actually Running?
Run through this before your next reliability review, and if any box doesn't check itself against real records, book a demo and we'll walk through how HVI fills that specific gap rather than starting the program from a blank spreadsheet.
Frequently Asked Questions
What is a defect elimination program in mining?
A mining defect elimination program is a structured process for identifying components and assets with recurring, chronic failures, investigating the underlying cause beyond the immediate broken part, and applying a verified permanent fix — a design change, material change, application change, or procedure change. It sits alongside routine maintenance and inspection but is specifically aimed at repeat failures, not one-off breakdowns.
How is defect elimination different from standard root cause analysis?
Standard incident RCA typically answers why one specific failure happened. Defect elimination looks across multiple occurrences of the same failure on the same asset or component and asks why the pattern keeps repeating — often pointing to design fit, application, installation practice, or operating conditions rather than a single bad part.
How do you identify a "bad actor" component or asset?
By ranking failure history per specific asset and component — not just counting total work orders — against both frequency and cost or downtime impact. Most reliability programs set a threshold, commonly three or more occurrences of the same failure on the same component within twelve months, to separate chronic issues worth investigating from routine one-off repairs.
Do all defect elimination fixes require an engineering change?
No. Some chronic defects trace back to an installation habit, an operating practice, or a preventive maintenance interval that's too loose, and the most effective fix is a procedure or training change rather than a design modification. When a fix does involve a design, material, or spec change, it should still go through a documented modification process with assessment and approval before being rolled out fleet-wide.
How long should you track a fix before calling a defect eliminated?
Long enough to exceed the original failure interval with a clear margin. If a component was failing roughly every three to four months, a few weeks of clean running doesn't confirm anything — the verification window needs to run past at least one full expected failure cycle, and ideally longer, before the fix is considered proven and shared to similar assets.
The Real Win Isn't the Fix — It's the Part You Stop Ordering
A mining defect elimination program doesn't replace your maintenance team's day-to-day repair work — it sits on top of it, catching the failures that keep coming back and treating them as a signal worth investigating instead of another line on the work order board. Find the bad actors by component, dig past the broken part to why it broke, match the fix to what you actually found, run the modification through proper sign-off, and give it time to prove itself before calling it solved. Do that consistently and the payoff shows up as parts you stop reordering and trucks that stop coming back to the same bay for the same reason.
Stop Reordering the Same Part Every Quarter
HVI ties every defect, work order, and corrective action back to the specific asset and component — so your chronic failures surface on their own, and the fixes you apply have the trend data to prove they actually held.
No credit card · Per-component failure tracking · Corrective action & trend records
