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Without proper care, things break – like a garden left unattended that slowly withers and loses its blooms. This is especially true for those operating in the aviation industry. Maintenance is the care if done poorly affects operational costs and overall organizational productivity.
The manufacturing industry, on average, loses around 800 hours a year in downtime, with inefficient maintenance practices being one of the reasons. Understanding types of maintenance strategies to prevent equipment that is likely to fail, saves operators from costly repairs, and unexpected breakdowns. Today, predictive maintenance has emerged as a prominent approach in the modern management system, with the rise of AI and IoT.
In this article, we’ll look at predictive and reactive maintenance, how their approaches differ, and where each one makes the most sense.
What is reactive maintenance?
It is the process of repairing assets after components develop a problem or break down. This is cost-effective and doesn't require sophisticated systems to run round-the-clock and a team to manage and update these systems. In simple terms, the approach is analogue: technicians manually inspect and identify potential issues or breakdowns, or perform maintenance activities when the issue is identified.
Put simply, fix when something is broken. The benefit of reactive maintenance is that it is time-saving and cost-effective. It is one of the oldest and most widely adopted processes where downtime has a lower impact.
What is predictive maintenance?
This approach is more data-driven. Maintainers use specialised systems to anticipate when maintenance may be required – in advance. For example, data about a component’s expected lifecycle, usage, and previous maintenance history can be fed into these systems to train them. The system is only good (or effective) as the data behind it.
Modern predictive systems learn on their own using advanced deep learning models. For example, Airbus’ Skywise platform predictive maintenance system, during a trial, predicted 31 potential failures and helped prevent potential disruptions.
Modern predictive systems can go beyond regular checkups. These systems also analyse real-time data to identify anomalies, providing insights to planners for decision making.
They can process data from sensors, health-monitoring systems, resources, and a range of sources – simultaneously and round-the-clock, to support more proactive maintenance decisions. This is one of the main reasons predictive maintenance is appealing to modern businesses: it can provide insights in advance and help reduce the likelihood of unexpected failures.
A reactive-only strategy can create hidden costs
In simple words, “fix it when it develops a problem or stops working” is reactive maintenance. However, the reality is more nuanced in industries such as aviation. A reactive event can include:
- A reported in-service defect
- A fault discovered during an inspection
- A failure identified during routine check-ups
- A deferred defect
- Damage or deterioration found in an aircraft
Reactive work is sometimes unavoidable. Well-planned MRO operations still need to deal with faults and maintenance requirements. In a sense, predictive maintenance is also reactive, but there is an important distinction.
This strategy still dominates; it doesn't require business owners to invest continuously in building and upgrading systems to build an effective predictive engine. It is cost-effective and easy to implement, but it can create hidden costs such as:
- Technician productivity loss
- Unplanned downtime
- Parts availability pressure
- More expensive procurement
- No-fault-found (NFF) costs
- Turnaround-time uncertainty
- Work-order and planning overhead
- Capacity loss to unplanned work
These unplanned requirements create pressure on teams, such as urgent procurement, resulting in additional costs. Reactive maintenance is necessary as a response capability. It is not usually the best foundation for growth, profitability, or consistent compliance.
What Predictive Maintenance Means for Part 145 Operators
In an enterprise environment, predictive maintenance may involve different kinds of software and advanced systems. Seeing this setup, a small MRO may assume that predictive maintenance requires the same level of technology, investment, and specialist staff. That assumption is partially incorrect.
A predictive approach for a small Part 145 organisation can begin with the data already generated during normal maintenance activity:
- Repetitive defects and pilot reports
- Component removal history
- Inspection findings
- Hours, cycles, landings, and calendar limits
- Reliability trends by aircraft registration or fleet type
- Deferred defect patterns
- Oil analysis or fluid-monitoring results where applicable
- Brake wear, tyre wear, battery performance, and consumable usage
- Corrosion findings by location or operating environment
- Avionics fault codes and intermittent fault history
- Supplier lead times and frequently required replacement parts
- Previous work orders and corrective actions
Predictive vs Reactive: The Practical Comparison
| Area | Reactive maintenance | Predictive maintenance |
|---|---|---|
| Trigger for action | A defect, failure, complaint, or unexpected finding occurs | Trends, condition indicators, history, inspections, and forecasted due items indicate increasing risk |
| Planning quality | Limited; scope often develops after the aircraft is grounded or work has begun | Higher; labour, access, parts, tooling, and documentation can be prepared in advance |
| Aircraft downtime | Often longer and harder to predict | More likely to be controlled and incorporated into planned maintenance visits |
| Labour use | Technicians are frequently interrupted and reassigned | Labour can be scheduled around known tasks, skills, and capacity |
| Parts purchasing | More urgent orders, rush freight, and substitute sourcing | Better forecasting, replenishment, reservations, and purchasing lead-time management |
| Customer communication | Usually begins after the problem is found | Begins earlier, allowing customers to approve work and plan aircraft availability |
| Compliance administration | Can become rushed under AOG-style pressure | Work packs, task cards, references, and traceability can be prepared beforehand |
| Cost control | Costs are less predictable and can rise sharply during urgent events | Costs are generally more visible, forecastable, and manageable |
| Root-cause learning | Repeat events may be treated as one-off repairs | Data supports recurring-defect review and continuous improvement |
| Best role | Essential for unexpected faults and urgent rectification | Best as the primary strategy for routine operational control |
Why Small MRO Shops Need Predictive Maintenance
Small MRO businesses may not have the capacity that large ones do. That distinction makes unpredictability expensive. When a small team is disrupted by an unplanned event, it affects every other job –such as scheduled inspections – in progress. Scheduled inspections can be delayed. Predictive maintenance can help in the following ways:
Authorised certifying personnel’s time should be directed toward critical activities—not repeatedly diverted into avoidable emergencies. It also streamlines and optimizes inventory planning, which is a constant balancing act. Predictive planning makes balancing easier.
A customer is more likely to trust an MRO that says:
“During the last two inspections, we identified early wear in this area. Based on the trend and the next scheduled maintenance visit, we recommend planning for inspection and possible replacement.” This is very different from “we found an issue, and we need to source parts urgently.”
EASA Part 145 compliance depends heavily on control, traceability, competence, inspection discipline, and accurate records. A reactive culture can place those controls under strain.
The Cost of “We’ve Always Done It This Way”
Many small MROs operate reactively because that is how the business developed. However, the operating environment changes as the customer base grows. The warning signs are:
- Monitoring in separate spreadsheets, emails, or individual calendars
- Technicians rely on memory
- Parts are ordered after work begins
- Stock records are not reliably connected to work orders
- A recurring defect is discovered multiple times
- Managers cannot easily see job status
How MRO Software Makes Predictive Maintenance Achievable
A small organisation does not need a dedicated department to become more predictive. It needs a system that connects information and knowledge, providing a structured view of work orders, schedules, inventory, and job progress.
Maintenance forecasting
A maintenance-planning system should help teams see upcoming due items by date, hours, cycles, or other limits. This also makes it easier to group tasks. If an inspection, component replacement, and calendar-driven servicing are approaching similar due points, the customer may prefer a single planned downtime period rather than multiple separate visits.
Work-order history
A work-order history must provide the details required to identify recurring labour-intensive tasks. For example, if an aircraft returns repeatedly with a charging-system discrepancy, a technician should be able to review prior steps, and associated findings.
Inventory control
Predictive maintenance depends on having the right material at the right time. MRO software can connect demand forecasts to stock levels, purchase orders, supplier information, reservations, and part traceability.
For a small shop, this may mean setting practical reorder levels for fast-moving consumables, identifying critical parts with long procurement lead times, and reserving material for approved work orders before it is consumed elsewhere.
Digital task control
Structured digital work orders and task workflows help ensure that planned work includes the right maintenance data, labour records, inspection points, material information, and close-out requirements.
When unexpected findings arise, the MRO can still respond reactively—but within a controlled process. Additional tasks can be added, customer approvals recorded, parts issued against the job, and the full maintenance history retained.
A Balanced Strategy: Predict First, React Well
The right answer is not to eliminate reactive maintenance. That would be unrealistic in aviation. Unexpected defects will still occur. The goal is to create a balanced strategy: use predictive planning for genuine unscheduled events, and predictive maintenance to anticipate events.
A defect happens. The team corrects it safely and compliantly. The organisation records the details. The data is reviewed. Future work is planned more intelligently. Over time, fewer events become true emergencies.
