Why Preventive Maintenance Matters
An unplanned breakdown on a 30-tonne excavator does not just cost you the repair bill. It costs you the operator standing idle, the concrete truck that arrived and cannot pour, the subcontractor whose schedule just shifted by a day and the liquidated damages clause that edges closer to activation. On an Australian Tier 1 construction project, a single day of unplanned downtime on critical plant can cost $5,000 to $15,000 in direct and consequential losses.
Preventive maintenance flips the equation. Instead of waiting for a hydraulic hose to blow at 2 pm on a Friday, you replace it during a scheduled service window on Wednesday morning when parts are on hand and the operator can be redeployed. The repair takes an hour instead of four, there is no emergency callout fee, and the project stays on program.
The data backs this up consistently. Industry research shows that preventive maintenance programs reduce unplanned downtime by 30 to 50 per cent and extend equipment life by 20 to 40 per cent. For a contractor running ten pieces of heavy plant, a well-executed maintenance program can save $100,000 or more per year in avoided breakdowns, reduced repair costs and lower hire charges for replacement equipment.
Beyond the financials, there is a safety imperative. Under the Australian Work Health and Safety Act, a person conducting a business or undertaking (PCBU) has a duty to ensure that plant and equipment is maintained so it remains without risk to health and safety. A failure that injures an operator or bystander because maintenance was neglected is not just a workplace incident; it is a potential breach of WHS law with serious penalties for individuals and organisations.
Time-Based vs Meter-Based Scheduling
The two fundamental approaches to scheduling preventive maintenance are time-based (calendar intervals) and meter-based (usage triggers). Most heavy equipment programs use both, applying whichever condition is reached first.
Time-based scheduling triggers maintenance after a set number of days, weeks or months. Examples: grease all pivot points every 14 days, replace hydraulic filters every 6 months, conduct an annual structural inspection. Time-based scheduling is straightforward to set up and works well for assets that degrade with age regardless of use: rubber seals, hoses, belts and consumables that have a shelf life or fatigue life measured in time.
The limitation of time-based scheduling is that it ignores utilisation. An excavator that runs 200 hours per month needs service far more frequently than one that runs 40 hours. A strict 90-day service interval over-maintains the lightly used machine and under-maintains the heavily used one.
Meter-based scheduling triggers maintenance based on operating hours, kilometres, cycles or other usage metrics. Examples: engine oil and filter change every 250 hours, undercarriage inspection every 500 hours, major service at 2,000 hours. Meter-based maintenance aligns service intervals with actual wear, which is more efficient and more protective of the equipment.
The challenge is capturing meter readings reliably. If operators forget to log hours, maintenance windows are missed. Telematics solves this by feeding engine hours, odometer readings and other meters directly into your tracking platform. MapTrack integrates with telematics providers including Geotab, Samsara and OEM systems to automate meter updates. If telematics is not available, manual hour readings at the start of each shift (logged via the mobile app during pre-start checks) are a reliable fallback.
The combined approach. Set both a time trigger and a meter trigger for each maintenance task. Example: engine oil change every 250 hours OR every 3 months, whichever comes first. This ensures that even idle equipment is serviced (oil degrades over time regardless of use) and that heavily used equipment is serviced at the right usage intervals.
Setting Up Maintenance Intervals
Getting your intervals right is the foundation of the entire program. Set them too tight and you waste parts and labour. Set them too loose and you risk failures. Start with manufacturer recommendations and adjust based on your operating conditions.
Use manufacturer service schedules as a starting point. Every major equipment manufacturer publishes service interval guides. Caterpillar, Komatsu, Volvo, Hitachi and John Deere all provide detailed schedules broken down by operating hours. These guides specify what to inspect, service or replace at 250, 500, 1,000 and 2,000 hours. Import these intervals into your maintenance platform as the baseline.
Adjust for conditions. Manufacturer intervals assume standard operating conditions. Australian conditions are often harsher: extreme heat in Western Queensland, high dust loads on unsealed roads, coastal salt exposure, and abrasive materials in mining. In these conditions, shorten intervals by 20 to 30 per cent for filters, fluids and wear components. If your excavator runs in red bull dust for ten hours a day, the air filter and radiator cleaning schedule should be more aggressive than the manual suggests.
Categorise maintenance levels. Group tasks into service levels to simplify scheduling. A common structure for heavy equipment: Level A (daily pre-start check), Level B (every 250 hours: oil, filters, grease, visual inspection), Level C (every 500 hours: Level B plus hydraulic filters, coolant check, belt tension), Level D (every 1,000 hours: Level C plus transmission service, undercarriage measurement, structural inspection), Level E (every 2,000 hours: major service including engine valve adjustment, hydraulic system overhaul, component replacement as needed).
Build a master schedule. Once intervals are set for each asset, scheduling tools let you view all upcoming maintenance across your fleet in a calendar or timeline view. This lets you batch services (do three machines in the same week at the workshop rather than three separate call-outs), plan parts ordering in advance and coordinate with operators on downtime windows.
Work Order Workflows
A maintenance schedule tells you when to service. Work orders tell you what to do, who does it and whether it was done correctly.
Creating work orders. When a maintenance trigger fires (time-based or meter-based), the system should automatically generate a work order. The work order specifies: the asset, the maintenance level and tasks required, the assigned technician or workshop, the due date, any parts needed and safety precautions. Automatic generation eliminates the risk of someone forgetting to raise a work order when a service comes due.
Assigning and prioritising. Not all work orders are equal. A 250-hour service on a grader that is not needed for two weeks can be scheduled at convenience. A safety-critical repair on an excavator with a hydraulic leak needs immediate action. Use priority levels (urgent, high, normal, low) and assign to the right person: in-house mechanic for routine services, dealer workshop for warranty work, specialist for complex repairs.
Completing and closing. When the technician finishes the work, they update the work order with: tasks completed, parts used, hours spent, photos of the work (before and after) and any follow-up recommendations. This record becomes part of the asset’s permanent service history. Closing the work order resets the maintenance timer for the next interval.
Unplanned work orders. Not everything is preventive. When an operator reports a fault during a pre-start check or a breakdown occurs in the field, an unplanned work order captures the issue. Track unplanned vs planned work orders as a ratio: a healthy program has 80 per cent or more of work orders as planned (preventive), with unplanned (reactive) work orders declining over time.
Parts and Inventory Management
A maintenance schedule without parts on hand is just a list of good intentions. Parts availability directly determines whether scheduled maintenance happens on time or gets deferred, and deferred maintenance is the first step toward a breakdown.
Identify critical spares. For each piece of heavy equipment, list the parts consumed during routine services: engine oil (specific grade and quantity), oil filters, fuel filters, air filters, hydraulic filters, grease cartridges, drive belts. These are your A-list spares and should always be in stock. B-list spares (hoses, gaskets, seals, electrical components) should be stocked based on failure history.
Set reorder points. Use your inventory module to set minimum stock levels and reorder triggers. When the oil filter count drops below five, the system alerts you to reorder. Factor in supplier lead times: if your Komatsu dealer takes five business days for filter kits, set your reorder point high enough to cover that lead time plus a buffer.
Link parts to work orders. When a technician completes a work order, the parts used are deducted from inventory automatically. This keeps stock levels accurate without manual counting and creates a consumption history that helps you forecast future needs. Over time, you can see exactly how many oil filters you consume per quarter and order accordingly.
Track costs. Every part consumed against a work order contributes to the maintenance cost per asset and per operating hour. This data is essential for lifecycle cost analysis and for deciding when to repair vs replace an aging machine. An excavator that costs $45 per operating hour in maintenance may be more expensive to keep running than the monthly payment on a new one.
Compliance Documentation
In Australia, documented maintenance is not optional for heavy equipment; it is a legal obligation with teeth.
WHS Act obligations. The model Work Health and Safety Act 2011, adopted across most Australian jurisdictions, requires that plant is maintained, inspected and tested in accordance with manufacturer specifications and any applicable standards. The WHS Regulations further require that maintenance records be kept and be available for inspection by the regulator. A failure to maintain plant that results in injury or death can lead to prosecution of both the organisation and individual officers.
What to document. For each maintenance event, your records should include: date of service, description of work performed, parts replaced, name of the person who performed the work, results of any testing or inspection, the next scheduled service date or meter reading and sign-off by a competent person. MapTrack’s compliance features capture all of this within the work order and link it to the asset record for instant retrieval during audits or regulator inspections.
Pre-start inspections. Daily pre-start checks are a critical compliance layer. The operator inspects the machine before each shift and records the results. Any defect that could affect safety must be reported and addressed before the machine is used. Digital pre-start forms completed on the mobile app are timestamped, geolocated and attached to the asset record, far more robust evidence than a paper form that blows off the dashboard.
Audit readiness. When a regulator, insurer or client audits your maintenance records, you should be able to produce the complete service history for any asset within minutes. If your records are in filing cabinets, paper logbooks and email threads, this is a stressful and time-consuming exercise. A centralised digital system turns a three-day audit response into a three-minute report.
Measuring Maintenance Effectiveness
Setting up maintenance schedules is step one. Measuring whether they are working is what drives continuous improvement.
Planned maintenance compliance (PMC). The percentage of scheduled maintenance tasks completed on or before their due date. Target: 90 per cent or higher. If PMC is below 80 per cent, investigate the causes: common culprits are parts shortages, insufficient workshop capacity and schedule conflicts with production demands. PMC is the single most important maintenance metric because it drives all other outcomes.
Mean time between failures (MTBF). The average operating time between unplanned breakdowns. A rising MTBF means your preventive program is catching issues before they become failures. Track MTBF per asset and per asset category. If one excavator has an MTBF of 800 hours while identical machines average 1,500 hours, that machine needs investigation: either it is being operated in harsher conditions or it has an underlying issue.
Mean time to repair (MTTR). How long it takes to restore a failed asset to service. MTTR is influenced by diagnostics speed, parts availability and technician skill. A falling MTTR means your team is getting faster at resolving issues. High MTTR often indicates parts supply problems or a need for additional training.
Maintenance cost per operating hour. Total maintenance expenditure (parts, labour, external repairs) divided by total operating hours. Benchmark against industry standards and manufacturer guidelines. If your cost per hour is trending upward for an asset, it may be approaching end of economic life.
Equipment availability rate. The percentage of scheduled operating time that the equipment is actually available for use. Target: 85 to 95 per cent depending on equipment type and age. Availability below 80 per cent signals chronic reliability issues that need root-cause investigation, not just more frequent servicing.
Build a monthly maintenance dashboard that tracks these five metrics. Share it with operations managers and site supervisors. When the team sees the numbers improving (MTBF going up, reactive work orders going down, availability increasing), it reinforces the value of the maintenance discipline and motivates continued compliance with the program.
