People Readiness: Same Job Title, Different Machine
11m 27s
Maintenance readiness is not just about training—it’s rooted in organizational design and strategic foresight. When transitioning to electric drive machinery, sites often fail to define their maintenance model early, leading to misaligned strategies and skill shortages. The operating philosophy—whether internal, contractor-led, or hybrid—must be established before any fleet purchase, as it directly influences staffing, training, and performance. Electric drive systems demand new technical competencies in electrical systems and diagnostics, which traditional diesel-trained teams lack. Without structured handover, real-world field experience, and proper contractor integration, early maintenance runs suffer from inconsistency, poor work quality, and unreliable data, undermining predictive maintenance. A lean internal team risks breakdowns during leave or peak demand without pre-planned coverage. The final 20% of asset knowledge develops only through hands-on exposure, not theoretical training. Therefore, readiness must be assessed proactively using current org charts to evaluate alignment with technology shifts and workforce resilience. This exercise doesn’t wait for new fleets—it starts today to ensure sustainable, reliable operations.
(upbeat music)
- Good day and welcome back to Maintenance Break.
Bite size insights, one break at a time.
I'm Pete.
- And Andrew and Pete,
we're continuing our series on operational readiness today.
Last episode we introduced the three lenses,
people, systems and equipment.
Today we're going deep on the one
that often gets the least attention
before new assets arrive, people.
- And when we say it gets the least attention,
we don't mean sites ignore training.
Most sites do some form of training
before a new fleet lands.
The problem is what they don't do.
They don't make the foundational decisions
that determine whether that training even makes sense.
- That's exactly it.
And to show what that looks like in practice,
let's set us same.
- A large open cut operation is replacing their ageing diesel
mechanical drive haul truck fleet
with an electric drive machines, big investment.
The business case is solid, better fuel efficiency,
lower emissions profile, improved diagnostics capability,
leadership signs off, the order goes in.
- And from a production standpoint, the logic stacks up.
- It does, but here's what happens on the maintenance side.
- The existing crew, experienced capable people,
have spent years maintaining mechanical drive systems.
They know those trucks.
And then 12 months later, a fleet of electric drive machines
rolls on to site.
And the maintenance team is looking
at a completely different animal.
- Same job title, different machine,
different skill set required.
- And the site didn't see it coming
or more accurately didn't act on it early enough
because this isn't just a training problem.
It's an organizational design problem.
And that starts with a decision
that should have been made
before the purchase order was even raised.
- The operating philosophy.
- Exactly.
And this is the decision that shapes everything else
in the people lens.
Before you think about head count,
before you think about training,
before you think about who's on day shift and who's on nights,
you need to answer one question.
How is this fleet going to be maintained?
- Walk us through the options, Drew.
- At one end, you have a fully internal model.
Your own team, your own knowledge, staying in the business.
At the other end, you have a mark,
a maintenance and repair contract,
where the OEM or a specialist contractor
takes responsibility for maintaining the fleet
to an agreed performance standard.
And then there's the hybrid model,
which is somewhere in between, a lean, permanent,
internal team that carries the institutional knowledge,
topped up by contractors during peak demand
or major scheduled work.
- And each of those models
has fundamentally different implications
for how you staff, how you train,
and how you build your maintenance strategy.
- That's the bit people mispeak.
The operating philosophy isn't just an HR decision.
It feeds directly into the maintenance strategy itself.
Running a mark, the contractor brings the technical depth.
Your internal role shifts to oversight
and performance management.
Running an internal model,
that technical depth has to live in your people.
The training, the procedures, the skills development,
all of it has to be built to a higher internal standard.
- And if you haven't made that decision
before the maintenance strategy is written,
you end up building a strategy against assumptions
that don't match the org model you actually run.
- Which is exactly what happened at our composite site.
The maintenance strategy was written
assuming an experienced internal team
with deep asset knowledge.
What the site actually had was a lean, permanent crew
supplemented by rotating contractors.
Good people, but no asset-specific experience
and no structured handover to build it.
The first few scheduled services ran long.
Work quality was inconsistent
and the reliability data from those early months
was effectively useless
because the work wasn't being executed
to the standard the strategy assumed.
- And that's a cost problem that compounds fast.
Longer service times mean the machine
is off the go line longer than planned.
Inconsistent execution means you can't trust
your condition data.
And when you can't trust your condition data,
your whole predictive maintenance approach falls apart
before it's even started.
- And the performance impact
isn't just in those first few services.
If the foundation is shaky,
if the team doesn't have the skills
or the ownership of the strategy,
it takes months to stabilize.
That performance gap we talked about in the last episode,
a significant portion of it lives here.
- So once the operating philosophy is defined,
once the org model is decided,
what's the next step?
- Organizational design.
And for a fleet replacement specifically,
this is where you have to be honest
about the skills mix
because this is where the electric drive transition
catches sights off guard.
A traditional diesel mechanical drive truck
is predominantly a mechanical asset.
Your maintenance team is weighted toward fitters.
Electric drive changes that equation.
HV requirements and more electrical complexity on the machine
means more electrical competency required in the team.
- Correct, high-voltage systems,
complex control architectures,
onboard diagnostics that require a different level
of technical literacy to interpret and act on.
A fitter who is outstanding on a mechanical drive truck
isn't automatically equipped
for the electrical systems of its replacement.
And the same shift is happening in fixed plant.
The move from fixed speed equipment
to variable speed drives and PLC controlled systems
has been creating the same skills mix challenge for years.
The technology changes, the org structure has to follow.
- And if you don't map that skills gap
before the fleet arrives,
you find out about it during the first breakdown
at two in the morning.
When the only person on site who knows the system
is the OEM tech rep
on the other end of a phone call in a different time zone.
- We've all seen that.
- Too right.
So the skills gap analysis has to happen early.
Who do you have?
What do you need?
What's the plan to close the gap?
Whether that's retraining existing people, recruiting
or structuring the contractor component of a hybrid model
to cover the shortfall during the transition.
- And there's another layer that gets overlooked.
Leave coverage.
A lean internal team sounds efficient
until someone goes on leave
and suddenly you've got a skills gap
in the middle of a scheduled major service.
- That's where the hybrid model design matters.
If your permanent team is lean by design,
the contractor component isn't just for peak demand.
It's structural.
Who covers leave?
Is there a preferred contractor arrangement?
Are those contractors trained on this specific fleet?
Or are you starting from zero every time a new face
shows up on site?
- Which brings us to asset-specific handover and training.
Because even with the right org model
and the right skills mix,
if the people doing the work
haven't been properly introduced to this specific machine
in this specific configuration,
in this specific operating environment,
you've still got a gap.
- And this is the part that often gets substituted
with a vendor presentation and a stack of OEM manuals,
which is a starting point, not a finish line.
Classroom training gives your team the theory,
the system architecture, the safety requirements.
But the first time they open an access panel
on a machine they've never worked on,
following a procedure written from a drawing
rather than from the machine itself,
that's where the gap shows up.
- And this connects directly
to what we talked about last episode.
The 80% you can prepare
from documentation, experience, and OEM knowledge.
It's valuable, it's essential.
But the final 20%, the real assets-specific knowledge
only develops once your people are working
on that actual machine in the field,
with the time and the support
to build that understanding properly.
- Which is why the handover period
matters as much as the pre-arrival preparation.
It's not enough to train people
before the fleet arrives and release them on day one.
The early weeks need structure.
OEM support on site, experienced supervision,
time in the schedule for the team
to build confidence on the asset
before full production pressure is on.
- Because if that period gets compressed,
if production pressure means the team
is running at full pace before they're ready,
the mistakes made in those early weeks
define your reliability picture for the next 12 months.
- All right Pete, let's land this one.
- Here's this week's break tip.
Tomorrow morning, pull out your current maintenance org chart,
the one that shows who's actually
on your team right now.
Then ask three questions.
One, was this org structure designed
around the assets you're maintaining today,
all the ones you had when it was last reviewed.
2. If your fleet technology has shifted, more electrics, more onboard diagnostics, more
complex control systems, does your skills mix reflect that shift?
And 3. If you lost two people to leave or resignation tomorrow, do you have a plan to
cover the gap without your maintenance capability falling over?
If any of those answers make you uncomfortable, that's where your people readiness work starts.
And you don't need a new fleet arriving to make this exercise worth doing. The all-chart
you have today was built for yesterday's problems. It's worth checking whether it's still the
right one.
Until next time, take care.
Bye.
Podcast Summary
Key Points:
The shift to electric drive machines exposes a critical organizational design flaw, as maintenance strategies are often built on outdated assumptions about workforce capabilities.
The operating philosophy—whether internal, contractor-led, or hybrid—must be defined early, as it fundamentally shapes staffing, training, and maintenance performance.
Electric drive systems require greater electrical and diagnostic expertise, creating a significant skills gap that traditional diesel-focused maintenance teams cannot automatically bridge.
A lean internal team without structured handover and contractor support leads to inconsistent execution, unreliable condition data, and prolonged service times.
Early hands-on training and field exposure are essential for developing asset-specific knowledge, which cannot be achieved through manuals or presentations alone.
Leave coverage and contingency planning are critical in hybrid models to prevent sudden skill shortages during scheduled maintenance.
The first few months post-fleet arrival are decisive; poor preparation leads to long-term reliability issues and undermines predictive maintenance.
Maintenance readiness should be assessed continuously, not just after new assets arrive, using current org charts and skills alignment as a diagnostic tool.
Summary:
Maintenance readiness is not just about training—it’s rooted in organizational design and strategic foresight. When transitioning to electric drive machinery, sites often fail to define their maintenance model early, leading to misaligned strategies and skill shortages. The operating philosophy—whether internal, contractor-led, or hybrid—must be established before any fleet purchase, as it directly influences staffing, training, and performance.
Electric drive systems demand new technical competencies in electrical systems and diagnostics, which traditional diesel-trained teams lack. Without structured handover, real-world field experience, and proper contractor integration, early maintenance runs suffer from inconsistency, poor work quality, and unreliable data, undermining predictive maintenance. A lean internal team risks breakdowns during leave or peak demand without pre-planned coverage.
The final 20% of asset knowledge develops only through hands-on exposure, not theoretical training. Therefore, readiness must be assessed proactively using current org charts to evaluate alignment with technology shifts and workforce resilience. This exercise doesn’t wait for new fleets—it starts today to ensure sustainable, reliable operations.
FAQs
The operating philosophy—how the fleet will be maintained—must be decided before the purchase order is raised, as it shapes staffing, training, and maintenance strategy.
A fully internal model, a maintenance contract (outsourced), and a hybrid model with a lean internal team supplemented by contractors during peak demand or major work.
It requires higher internal standards for training, procedures, and skills development, as technical knowledge must be built and retained within the organization.
Electric drive systems require more electrical competency, and existing mechanical drive-trained technicians may not have the required skills to operate or maintain them effectively.
A sudden absence can create a skills gap during critical maintenance activities, leading to operational downtime and reduced service quality.
While manuals provide theory, real-world experience on the actual machine develops the final 20% of asset-specific knowledge and practical understanding.
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