Yes. And you can work out your own number in about 10 minutes.
For most sites the maintenance training ROI comes from 2 places: better planning and scheduling lifting your wrench time, and deleting the preventive maintenance tasks that add nothing.
Both pay for themselves inside the first year.
This article walks through 4 worked examples at 4 different site sizes, from a 15-person maintenance team to a 250-person multi-site group.
You'll get the full maths, including the costs almost everybody forgets.
You'll also get an honest account of which parts of the return can be proven and which parts can't. And I'll tell you when you shouldn't buy our coaching.
Why most training ROI numbers in this industry don't survive a conversation with your CFO
Go looking for the return on maintenance training and you'll find numbers everywhere.
One provider says the average student generates $400,000 in measurable ROI. Another publishes $5.6 million in documented value across 6 case studies. A third reports a 10:1 return on a PM optimisation project.
They might all be true. The trouble is that none of them tells you how the number was calculated, what was counted as a cost, or how the effect of the training was separated from everything else happening in the plant that year.
Take one of those numbers into a budget meeting and the first question you'll get is "says who?".
You won't have an answer.
The most honest thing published in this space comes from a CMMS vendor. In their guide to maintenance training, Limble writes: "Calculating exact ROI from investments into maintenance training is damn near impossible."
I disagree. But I understand why they said it.
What we can prove, and what we can't
Let me be straight about the evidence before you trust any of the numbers below.
Reliability Academy has published 11 client case studies. Exactly 1 of them contains audited operational and financial results.
That's TIP Trailer Services, from 2020.
The other 10 don't, and it isn't because the results were bad. Tronox and a large refinery in the Gulf both sit under non-disclosure agreements. Henkel, Air Liquide, First Quantum, Cobre Panamá and SASA do not publish plant-level maintenance KPIs, and that data is not ours to release.
So what does get published? Enrolments, completion rates, participant ratings, and what clients have put in writing.
That's the honest position. Anyone in this industry claiming a dozen fully audited ROI case studies is either working with unusually open clients or making it up.
Here is what TIP measured across roughly 100 people in France, Italy and Spain:
- Direct, hands-on-tools productivity rose from 80% to 93%, a 16% improvement.
- Schedule compliance improved by 20 points, with almost 100% schedule loading.
- Indirect hours fell from 10% to 5%.
- Sickness ratio dropped 33%, during COVID.
- Profit increased by a 7-figure sum.
One number rarely gets quoted, and it is the one that matters most.
Regions that did the training improved overall productivity by 15% from the start of 2020. Regions that didn't improved by 6% to 9%.
That comparison matters because it partly separates the training from everything else. Both sets of regions had the same year, the same market and the same equipment. One group had been trained.
It isn't a controlled trial. But it is a great deal better than a testimonial.
How do you calculate maintenance training ROI?
There is an established method for this, and it isn't ours.
Jack Phillips added a fifth level to Kirkpatrick's 4 levels of training evaluation. Level 5 is ROI:
ROI (%) = (Net Program Benefits ÷ Program Costs) × 100
Phillips asks 2 things that most training providers quietly skip. Isolate the effect of the training from everything else. And count all the costs, including participant time.
Both are applied in every example below. That makes these numbers look smaller than the ones published elsewhere. It also makes them defensible.
Two more rules apply, because without them the maths flatters the seller.
You have to give up people to staff the planning function. You cannot lift wrench time without planners and schedulers, and in almost every plant they come out of your existing crew.
A useful rule of thumb is 1 planner for every 10 to 20 maintenance staff. Every example below subtracts those people from the execution pool before calculating anything.
Freed capacity is not the same as money. Hours you release only turn into value if you use them, to clear backlog, cut contractor spend, drop overtime or avoid a hire.
So every example applies a realisation factor. For wrench time that factor is 45%, roughly what TIP actually banked against what the model predicted. For deleting PM tasks it is 80%, because a task you delete simply is not done, and far less can go wrong between the decision and the saving.
Right. Let's do the numbers.
Example 1: A 15-person maintenance team
Small sites read case studies about global chemical companies and conclude that none of it applies to them.
So let's start here instead.
You have 15 maintenance staff. You move 1 of them into a planner role and your supervisor picks up scheduling.
You put 1 person through PS100 to lead the implementation and 4 more through PS200. That's 5 seats, which reaches the 10% volume discount.
| Before | After | |
|---|---|---|
| Maintenance staff | 15 | 15 |
| People planning | 0 | 1 |
| Execution pool | 15 | 14 |
| Wrench time | 30% | 45% |
| Annual wrench hours | 8,100 | 11,340 |
You've created 3,240 hours a year. In effective workforce terms that is a 40% increase, and you did it without hiring anyone.
At a fully loaded $75 an hour that's $243,000 of gross value. Apply the 45% realisation factor and you are looking at roughly $109,000 a year.
Now the costs:
| Item | Cost |
|---|---|
| PS100 × 1 (10% off) | $1,796 |
| PS200 × 4 (10% off) | $4,662 |
| Participant time (5 people × ~37 hours × $75) | $13,875 |
| Implementation effort (~200 hours) | $15,000 |
| Total year 1 | $35,333 |
Year 1 return: +209%. Payback: about 4 months.
Two things here surprise most people.
The first is that small sites get a bigger percentage gain than large ones.
Your planning overhead is 1 person in 15, which is 7% of the crew. A 40-person site gives up 4 people, which is 10%. More of the improvement survives to the bottom line.
The second is the course fee: $6,458 for all 5 seats. That is well under what most providers charge. Here is what maintenance planning and scheduling training costs across the market. At most sites that sits inside a maintenance manager's own training budget.
So if you run a team this size, stop building a business case and get on with it. The bigger cost is your people's time, and you would spend that on any training you bought.
Example 2: A 40-person crew, and what planning really does to your wrench time
Now scale it up.
40 maintenance staff, PS200 across the team, and 4 people moving off the tools into 3 planner roles and 1 scheduler.
You'll see the claim that going from 30% to 45% wrench time gives you a 50% increase in output.
It doesn't.
This is where most productivity claims fall apart, so it's worth doing slowly.
Before: 40 people at 30% wrench time gives you the equivalent of 12 full-time people actually turning spanners.
After: 36 people at 45% wrench time gives you 16.2.
16.2 divided by 12 is 1.35.
That's a 35% increase, not 50%.
The difference is the 4 people you gave up to run planning and scheduling. Anyone quoting you the 50% figure has forgotten to subtract them.
| Value | |
|---|---|
| Capacity created | 7,560 hours/year |
| Effective workforce gain | +35% |
| Equivalent technicians gained | 14 |
| Gross value at $75/hour | $567,000 |
| Realised at 45% | $255,150/year |
| Course fees (40 × PS200 at 30% off) | $36,260 |
| Participant time | $105,000 |
| Implementation effort | $36,000 |
| Total year 1 investment | $177,260 |
| Year 1 return | +44% |
| Payback | ~8 months |
Year 2 is where it gets interesting. The course fees do not repeat and neither does the learning time. The 7,560 hours keep coming.
Those are our assumptions, not yours. Your wrench time might be 22% or 38%, and your loaded labour rate is certainly not $75.
So go and measure it. The Wrench Time Calculator is free, works in Excel on PC and Mac, and gives you the number your business case actually needs.
Example 3: Train 10 engineers, delete 20% of your PMs
This is the easiest money in maintenance, and almost nobody goes and gets it.
John Moubray put it plainly in RCM II: between 40% and 60% of the tasks in a typical PM program add little or no value.
Nowlan and Heap found that 70% to 90% of failure modes are not age-related at all, which tells you most fixed-interval tasks were never going to prevent much in the first place.
Most PM programs were never designed. They accumulated.
A task copied from an OEM manual here, a task added after an incident there, and nobody has reviewed any of it in 9 years.
So what happens when somebody finally does?
Marshall Institute, a competitor of ours, published a PM optimisation case study on a single critical asset at an adhesive tape manufacturer:
- 54% of existing PM tasks were found to be non-value-added.
- They deleted 50 of the 111 tasks.
- PM labour hours dropped from 331 to 145, a 56% reduction.
- Planned downtime for maintenance dropped from 299 hours to 128, a 57% reduction.
They also added 8 tasks covering failure modes nobody had addressed, and put pass/fail criteria on 19 more. Optimisation adds work as well as removing it.
Why cite a competitor? Because an independent firm finding 54% on a real asset is far better evidence than one more provider repeating Moubray's range at you.
Note what it took, though: a consultant-led workshop, on 1 asset.
The alternative is teaching your own engineers to do it, on every asset, permanently.
So let's cost that. A site with 120 maintenance technicians puts 10 engineers through PM100 and runs a structured PM review.
The saving:
| Step | Calculation | Result |
|---|---|---|
| Total wrench hours | 120 × 1,800 × 30% | 64,800 |
| Share spent on PM | 35% | 22,680 hours |
| Delete 20% of tasks | 4,536 hours/year | |
| Labour value at $75/hour | $340,200 | |
| Consumables and parts avoided | ~10% | $34,000 |
| Realised at 80% | $299,360/year |
Notice the 20%, rather than Moubray's 40% to 60%. This is the easy half: the obviously redundant, the duplicated, the ones nobody can explain.
You'll find more.
The cost:
| Item | Cost |
|---|---|
| PM100 × 10 seats (20% off) | $15,960 |
| Participant time (10 × 40 hours) | $30,000 |
| PM review effort (~600 hours) | $45,000 |
| Total year 1 | $90,960 |
Year 1 return: +229%. Payback: about 4 months.
Look at the cost table again.
The course fees are $15,960 of a $90,960 investment. That's 18%.
The real cost of training your team is their time. That is true of every course you have ever bought, and nobody ever puts it in the business case.
There's a second benefit here that gets missed.
Intrusive maintenance introduces failures. Every time you open a machine up, you get a fresh chance to fit the seal backwards.
So a well-run deletion exercise strips out cost and strips out a source of failure. That's the Waddington Effect, and it's why the goal of a PM review is higher reliability with less maintenance.
Example 4: A 250-person site, where coaching starts to make obvious sense
At 250 maintenance staff you need roughly 17 planners and 3 schedulers, so 20 people come off the tools.
| Value | |
|---|---|
| Wrench hours before (250 people at 30%) | 135,000 |
| Wrench hours after (230 people at 45%) | 186,300 |
| Capacity created | 51,300 hours/year |
| Effective workforce gain | +38% |
| Gross value at $75/hour | $3,847,500 |
| Realised at 45% | $1,731,375/year |
Now the investment.
At this scale, planning and scheduling will not roll out across 250 people from a self-paced course alone. So this includes the Tool Time Sprint: 12 months of coaching, fortnightly calls with your implementation team, and 30 course seats.
| Item | Cost |
|---|---|
| Tool Time Sprint | $79,500 |
| 60 additional PS200 seats (40% off at the 50–99 tier) | $46,620 |
| Participant time (90 people × 35 hours) | $236,250 |
| Implementation team time (~1,500 hours) | $112,500 |
| Total year 1 | $474,870 |
Year 1 return: +265%. Payback: about 3.3 months.
Everything paid to Reliability Academy in that table, the sprint and all 90 seats, comes to $126,120.
That's 7% of the value created in the first year.
One thing worth knowing if you run multiple sites. The volume discount is cumulative across your whole organisation. Seats from every site and every country add to one running total, and as that total grows the discount rises for everyone, globally.
For a group with 5 sites, that is usually worth more than negotiating each site separately.
How big does your site need to be before coaching is worth it?
Here's the part worth knowing before you spend anything, and nobody else seems to publish it.
Training scales with your headcount. Coaching doesn't.
A 12-month Tool Time Sprint costs the same whether you have 15 people or 250. So the real question is whether your site is big enough to absorb a fixed cost.
Run the sprint fee against the first-year value at each site size and the answer is obvious:
| Maintenance staff | Value created in year 1 | Sprint fee as % of that value | Verdict |
|---|---|---|---|
| 15 | ~$109,000 | 73% | Don't. Training only. |
| 40 | ~$255,000 | 31% | Marginal. Probably not. |
| 120 | ~$800,000 | 10% | Worth it |
| 250 | ~$1,731,000 | 5% | Obviously worth it |
Which gives you a simple rule:
- Under about 30 maintenance staff: buy training and nothing else. One person on PS100 to lead it, 3 to 5 on PS200. Coaching at this size costs more than the problem.
- 30 to 100: training at volume pricing. Add coaching or a workshop only if you already know implementation is your weak point, or you have nobody internally who can drive it.
- Over 100, or multiple sites: training plus coaching, with a site assessment first so you know where to aim. At this scale what limits you is implementation capacity, not money.
I would rather tell a 15-person team not to buy our sprint than sell them one that will never pay.
If that costs the occasional sale, fine.
It also means that when a 200-person site is told the sprint is worth it, there is some reason to believe it.
The number I'm deliberately not selling you
Everything above is about cost and capacity.
The bigger prize is uptime, and it comes last here on purpose.
In the 1990s, research led by Winston Ledet studied a very large group of manufacturing sites across many industries. Reactive plants ran at about 83.5% uptime. The best performers exceeded 98%.
Here is how the research breaks that journey down:
| Tactic | Effect on uptime |
|---|---|
| Baseline: reactive plant | 83.5% |
| Planning alone | +0.5 points |
| Scheduling alone | +0.8 points |
| PM or PdM alone | −2.4 points |
| All 3 together | 88.6% |
| Defect elimination on top | +9.7 points |
| Proactive plant | 98.3% |
Read that fourth row again.
Preventive maintenance on its own makes your uptime worse.
Worse. By 2.4 points.
That is counter-intuitive, and it is the most useful finding in the whole study. If your planning and scheduling is broken, pouring effort into your PM program means more intrusive work, executed badly, in an environment that cannot schedule it properly.
You go backwards.
Which leads to something a training company probably shouldn't say. If your planning and scheduling doesn't work, don't start with PM100.
Fix planning first.
The research says you'll be worse off otherwise, and no course on this website will change that.
Do all 3 together and you move from 83.5% to 88.6%. Just over 5 points of uptime.
What's that worth? Depends entirely on your plant.
Extra output = (88.6 − 83.5) ÷ 83.5 = 6.1% more production
Multiply 6.1% by your annual production value, then by your contribution margin.
For a plant turning over $300 million at a 40% margin, that is roughly $7 million a year, which makes every other number in this article look like rounding.
That number is not the one being sold here, for 3 reasons. It needs all 3 work processes running and sustained, not a training course. It takes 2 to 3 years to embed properly. And you only bank it if you can actually sell the extra output.
The ROI case does not need it. Deleting 20% of your PMs pays for the training 3 times over in year 1. The uptime is upside.
What it costs to do nothing
Compare training against carrying on as you are, not against spending nothing.
The U.S. Department of Energy puts reactive maintenance at 3 to 5 times the cost of planned maintenance.
Ron Moore's benchmarking across roughly 300 manufacturing plants found world-class organisations spend 1% to 3% of plant replacement value on maintenance, while typical plants spend 3% to 6%.
On a site with $100 million of replacement value, closing half that gap is $1.5 million a year.
There is a benchmark for the other side of the ledger too.
SMRP's maintenance training cost metric puts appropriate annual training spend at 1.65% to 4.4% of an employee's annual wage, with best-in-class organisations delivering 80 training hours per maintenance employee per year.
Run that on a technician packaged at $90,000. You should be spending $1,485 to $3,960 a year on their training.
A PS200 seat at volume pricing costs between $647 and $1,036.
That sits below the bottom of your own industry's benchmark.
How to build the business case in one page
Most buyers never need a formal business case, because the pricing fits inside a training budget they already control.
If you do need one, keep it to a single page and build it in this order.
- Measure your current state. Take the Planning & Scheduling Scorecard or the Road to Reliability Scorecard. 20 minutes, and you get a report you can attach.
- Get your real wrench time. Use the Wrench Time Calculator. Don't use the 30% in this article. Use yours.
- Count the PM tasks you could delete tomorrow. Pull your PM list, sort by frequency, and mark every task where nobody can name the failure mode it prevents. That count is your fastest saving.
- Put all the costs in, including people's time. Leaving participant hours out is the quickest way to have your number picked apart in the meeting.
- Apply a realisation factor and say so. Walking in with 45% already applied does more for your credibility than any headline multiple.
- State the timeline honestly. First wins in weeks. Measurable, sustained change in 6 to 12 months.
That's it. A number your finance team can check beats a number that sounds impressive, every time.
To work out your own number rather than borrow these ones, start with the Wrench Time Calculator. It's free, and it'll tell you in 10 minutes whether this is worth your time.
And to understand the whole picture before costing any of it, the Road to Reliability Framework lays out all 4 elements and the order to tackle them in. It's a 27-page PDF and you can read it in an afternoon.



