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A mixed heavy fleet standing in a plant yard in Ghana between deployments

Cross-vertical · Fleet utilisation

Daily plant utilisation: the machine that worked eight hours is not the machine that performed well.

Published 25 August 202611 min read
Theo Ilori

Published by Darikoda Systems Ltd

Written by Theo Ilori

Founder, Darikoda Systems Ltd. UCL MSc Mechanical Engineering. Former GE precision turbines, Caterpillar/Unatrac Ghana & Nigeria.

A fleet can be busy without being productive. Machines run long hours while spending that time waiting, travelling, queuing, repositioning or working below the output expected from them, which is why hours worked alone is a poor measure of equipment performance. For mining, construction, plant hire and roadworks businesses in Ghana, the distinction between available, running, productive, idle and unavailable time decides whether management is getting the value it should from the fleet it already owns or hires.

A fleet can be busy without being productive. Machines run for long hours while spending too much of that time waiting, travelling, queuing, repositioning or operating below the output expected from them, which is why hours worked on its own is a poor measure of equipment performance.

A useful daily plant utilisation record separates available hours, running hours, productive hours, idle hours, downtime, planned non-working time, operating conditions and the output achieved. For mining, construction, plant hire and roadworks businesses in Ghana, that separation decides whether management is getting the value it should from the fleet it already owns or hires.

The objective is not to make every machine run for as many hours as possible. It is to understand whether each machine was available, deployed in the right place, productive, and commercially justified for the work it was given.

The operational problem

Many heavy-fleet businesses receive a daily or weekly equipment report showing operating hours. It says something like this:

  • Excavator EX-22: 8.2 hours.
  • Dump truck DT-14: 9.1 hours.
  • Grader GR-03: 7.4 hours.

The numbers look useful. They do not answer the management questions that actually matter.

  • Was the excavator producing at the expected rate?
  • How much of the shift was productive?
  • How much time was spent waiting?
  • Was the dump truck cycling efficiently?
  • Was the grader deployed on the right work front?
  • Was the machine available but not needed?
  • Was a machine consuming cost on a project where the work had already slowed?
  • Was another project waiting for that same asset?

A running-hour number is an observation. Utilisation analysis needs context.

Why it happens

Plant utilisation becomes difficult to manage when operational events are recorded separately. Engine hours sit in one system and fuel sits in another. The supervisor knows the machine waited for materials. The workshop report holds the downtime. The project manager knows the machine was underused because the work front was not ready. Finance knows what the machine costs.

Those records are rarely connected into one daily operating picture, so management sees individual measurements with no way to join them together.

That produces a common reporting pattern. Hours are reported, and utilisation is assumed. Those are not the same thing.

Why it costs more than you think

Haul trucks queued at a loading point while the cycle waits
Three trucks queued at one loading point all record strong engine hours. The report shows a busy fleet and hides the constraint that is costing the money.

Fixed cost continues while utilisation falls

A machine carries finance cost, depreciation, insurance, operator cost, supervision and maintenance obligations even when its productive use drops away. The cost does not pause because the work front did.

The business buys or hires equipment it does not need

When management sees low output but cannot explain the cause, the instinct is to add machines. The real constraint is usually poor sequencing, waiting time, weak dispatch, material delays, maintenance bottlenecks or approval delays, so the extra machine adds cost without removing the constraint.

Shared fleets become difficult to allocate

A company running several projects has machines available and still runs short of equipment. The issue is rarely total fleet size. It is allocation, with one project holding underused equipment while another waits for the same capability.

Hire-versus-own decisions become less reliable

Utilisation is a critical input into decisions about purchasing, hiring, redeployment, replacing, retaining and retiring assets. Without reliable utilisation records, those decisions get made on anecdote.

An example from a Ghanaian operation

A contractor in Ghana runs a mixed fleet across two active construction projects. Project A carries two excavators, four dump trucks and one grader. Project B carries one excavator, two dump trucks and one grader.

At the end of the week, management sees that most machines recorded substantial engine hours, and the first conclusion is that both projects need more equipment. A closer look at the daily operating records shows something different.

On Project A, one excavator ran consistently, the second spent much of its time waiting for the work front to open, and two dump trucks were repeatedly queued at the loading point. On Project B, the excavator was heavily utilised, one dump truck worked below capacity, and the grader was needed only intermittently.

The business did not have a fleet shortage. It had a fleet allocation problem. Without utilisation connected to operational events, the company would have spent money on additional equipment it did not need.

What good operators do differently

A supervisor recording machine activity and the reason for a stoppage at source
The reason a machine stopped is worth more than the fact that it stopped. It only exists if somebody records it while the shift is still running.

Good fleet operators do not only ask how many hours the machine ran. They ask what the machine did with the time it had, and a useful daily record answers that by showing the machine's available time and what happened to it.

At minimum, management should be able to see the following for each asset.

  • Scheduled availability and actual availability.
  • Running hours.
  • Productive hours.
  • Idle hours.
  • Downtime.
  • Planned non-working time.
  • The reason behind any significant idle period.
  • Operator, project, location and work activity.
  • Output, where it can be measured.

Availability is not utilisation

This distinction has to be explicit in the record, because a machine sits in one of several different operating states.

  • Available but not required.
  • Available but waiting.
  • Unavailable because of maintenance.
  • Running but not productive.
  • Running productively.

Treating all non-running time as the same thing produces bad management decisions. A machine waiting because the work front is not ready is a different problem from a machine unavailable because the hydraulic system failed, and the financial and operational responses to each should be different.

Utilisation is not productivity

A machine operates for many hours and still produces less than expected. An excavator records eight running hours, and that does not make them eight productive hours. The output gets cut down by long loading cycles, repositioning, truck queues, difficult ground conditions, poor work sequencing, operator factors and shortages in the supporting equipment.

Utilisation tells you about the use of the asset. Productivity tells you about the output achieved from that use. A strong operational record lets management examine both.

Best practices

Record every machine's daily state

Do not collapse the day into one number. Capture the sequence of events that made up the shift.

Separate idle from downtime

Use categories that point at an intervention: waiting for operator, waiting for fuel, waiting for material, waiting for instruction, waiting for another machine, scheduled maintenance, unscheduled breakdown, or no work available. The reason has to be captured at the event, because a reason reconstructed at month-end is a guess wearing a category label.

Record the work context

A machine's utilisation means something only when management knows which project, which work area, which shift, which activity and which operator was involved.

Compare machines like for like

Do not hold a haul truck running a long-distance cycle and an excavator on a different work front against the same simple utilisation threshold. The operational context is part of the measure.

Review utilisation daily

Monthly reporting arrives too late for most operational decisions. Daily visibility lets managers redeploy machines, investigate persistent idle time, adjust work sequencing, resolve support constraints and address maintenance issues before the loss compounds.

Combine utilisation with cost

A machine runs at high utilisation and is still commercially unattractive when its operating cost is too high. Connect utilisation to fuel, maintenance, operator cost, project, output and the revenue or hire value it earns. That makes the measure commercially useful rather than merely operational.

Where most systems fail

Machine movement and location on screen without the operational reason behind it
The screen says the machine was stationary for two hours. It cannot say the work front was waiting on approved drawings, and that is the part management can act on.

GPS and telematics provide useful information about machine location, movement and basic utilisation. They do not produce a complete utilisation picture, because they measure the machine rather than the operating event, and they carry no operator attribution, no approvals, no maintenance history and no commercial evidence.

Telematics reports that a machine was stationary for two hours. The operating record reports that the machine was stationary for two hours because the work front was waiting for approved drawings. Those two pieces of information have completely different management value.

How better records improve daily plant utilisation

The workflow that works runs from the plan through to the fix, and it closes.

  • Schedule. Record where the machine is expected to work.
  • Capture. Record actual machine activity at source.
  • Classify. Distinguish running, productive, idle, unavailable and planned non-working time.
  • Attribute. Tie the events to the machine, operator, shift, project and location.
  • Review. Compare actual activity against what was planned.
  • Act. Redeploy, repair, re-sequence or remove the constraint.
  • Report. Give management a daily and period-level view of utilisation.

That creates a closed operational loop instead of a month-end number.

How Darikoda solves it

Darikoda measures actual running hours against idle time, tracks downtime by cause, and reports equipment utilisation against a specific site or chainage. The wider operating record connects the machine to the context around it: fuel, downtime, approvals, operator attribution and supporting evidence, all captured at source.

That matters because it moves management from one sentence to another. From this machine ran 74 percent of the time, to this machine was available, ran for these hours, spent these hours idle for these reasons, and produced this operational result. The second version is the level at which fleet decisions become actionable.

Operators looking at this from the operating-record, fleet, downtime or plant-hire angle can read the role-specific views below.

What belongs on the daily plant utilisation report

A useful daily management view lets a manager see the following for each asset.

  • Scheduled hours. What the machine was expected to do.
  • Available hours. Whether the machine could work at all.
  • Running hours. How long it operated.
  • Productive hours. How much of that time went into productive activity.
  • Idle hours. How much time was lost without productive work.
  • Downtime. How long the asset was unavailable.
  • Idle and downtime reason. What needs to be fixed.
  • Operator. Who was responsible for the shift.
  • Project and work area. Where the cost and the activity landed.
  • Output. What the equipment actually produced.
  • Cost. What the utilisation translated into financially.

The exact measures vary by asset type and operation. The point is to make the report answer a management question rather than display more numbers.

The commercial question

The question that matters is not what percentage a machine was utilised. It is whether the operation got enough operational and commercial value from that asset for the time and money tied up in it.

That question applies whether the machine is owned, hired in, hired out, shared between projects, assigned to a mining contractor, working on a construction project or deployed on a roadworks contract. A good utilisation record is what makes the answer possible.

The real test

The machine should not simply report that it worked. The operating record should show how well it was used, why it was not used, and what that meant commercially.

Key takeaways

Daily plant utilisation is not a single percentage. It is a structured explanation of what happened to an asset's available time, tracking the machine from available to running to productive to idle to unavailable, and explaining why each of those transitions happened.

  • Hours worked is an observation. Utilisation is an analysis, and the two get confused constantly.
  • Availability asks whether the machine could work. Utilisation asks how much of that capacity was used.
  • Idle and downtime are different problems and need different responses, so they need separate categories with reasons attached.
  • A machine records eight running hours without producing eight hours of output.
  • Most equipment shortages are allocation problems, and buying another machine hides the constraint instead of removing it.
  • GPS and telematics show that a machine stopped. Only the operating record shows why.
  • Utilisation reviewed daily can be acted on. Utilisation reviewed monthly is history.
  • Utilisation joined to cost is commercially useful. Utilisation on its own is only operational.

Frequently asked questions

What is daily plant utilisation?
Daily plant utilisation is the measurement of how an equipment asset's available time was used during a working period, including running, productive, idle and unavailable time.
What is the difference between utilisation and availability?
Availability asks whether the machine could work. Utilisation asks how much of that available capacity was actually used. A machine can be available and still poorly utilised.
How should idle time be treated in utilisation reporting?
Idle time should be recorded separately from downtime and given a reason, such as waiting for materials, approvals, operators or another machine.
Why are running hours not enough?
Running hours show that the machine was operating. They do not show whether the time was productive or whether the asset produced the output expected from it.
What causes low equipment utilisation?
Common causes include poor scheduling, work-front delays, missing materials, approval bottlenecks, operator gaps, equipment imbalance and maintenance issues.
How does plant utilisation improve fleet planning?
Reliable utilisation records show which assets are consistently overused, underused, unavailable or misallocated, which supports better redeployment and acquisition decisions.
How does operator attribution help utilisation reporting?
Connecting utilisation events to the operator and the shift provides operational context and supports more accurate investigation of performance and delays.
Does GPS tracking provide equipment utilisation?
GPS and telematics provide location and basic utilisation information. They do not explain the operational reasons behind idle time or connect those reasons to approvals, operators and commercial records.
How does Darikoda measure plant utilisation?
Darikoda tracks actual running hours against idle time, categorises downtime by cause, and links equipment utilisation to the relevant site or work context.
Can utilisation data support hire-versus-own decisions?
Yes. Reliable utilisation history provides evidence for decisions about whether an asset is consistently needed, underused, redeployable, suitable for replacement or better sourced through hire.

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Plant utilisationFleet performanceIdle timeFleet decisionsCross-vertical

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Operating Notes draw on extensive field audits and industry research across Ghana's mining, construction, roadworks, and quarry sectors. No specific operator is named or identifiable. External sources are cited inline where regulatory or commercial reference is made.

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