In 2026, industrial maintenance is no longer just about "fixing what breaks". It is organized around several distinct strategies (corrective, preventive, predictive), each driven by very different economic, technical and organizational logic. Choosing the wrong maintenance strategy means risking spending 30 to 50% more than necessary on parts, labor hours and unplanned downtime (Source: PwC, McKinsey, AFIM).
This guide explains the different approaches, their real costs, their prerequisites and their ROI, to help maintenance managers decide equipment by equipment.
The official classification: the EN 13306 standard
The European standard EN 13306 (2018 edition) sets out the maintenance vocabulary used across Europe. It distinguishes two main families:
- Corrective maintenance: action after a failure, you repair what has broken down
- Preventive maintenance: action before a failure, you act before the breakdown happens
Preventive maintenance itself is divided into three branches: time-based (scheduled), condition-based and predictive.
Understanding this breakdown avoids the classic confusion between "time-based preventive" and "predictive", which are often wrongly used as synonyms.
Corrective maintenance: repairing after the breakdown
Definition
Corrective maintenance means acting after a failure has occurred. It can be palliative (a temporary fix to get the equipment back into service quickly) or curative (a permanent repair).
When is it appropriate?
Corrective maintenance is not always a bad strategy. It is acceptable for non-critical equipment that is easy to replace, cheap when stopped and has a backup. If an office printer breaks down, corrective maintenance is perfectly rational.
It becomes a problem for critical equipment whose downtime generates significant costs. Unplanned breakdowns represent between 3 and 8% of annual revenue for manufacturing companies (Source: PwC, 2025), a cost that is rarely acceptable when margins are tight.
The hidden costs of corrective maintenance
- Unplanned production stoppages, often at the worst possible moment
- Emergency parts purchases with extra logistics costs
- Technician overtime to restore service
- Quality impact if products were made with degraded equipment
- Stress and disruption for teams
Time-based preventive maintenance: acting at fixed intervals
Definition
Time-based preventive maintenance means acting at fixed intervals (operating hours, cycles, calendar), regardless of the actual condition of the equipment. It is the industrial equivalent of "an oil change every 10,000 km".
Advantages
- Simple, predictable planning
- No surprises: work is scheduled and parts are ordered in advance
- Suited to equipment with a well-known, stable lifespan
- Easier compliance with regulatory requirements (some standards require periodic inspections)
Limits
The main drawback of time-based preventive maintenance is over-maintenance: you replace parts that are still in good condition because the due date has been reached, not because the part is worn. It wastes resources and technician time.
Conversely, if the equipment is used irregularly or in variable conditions, the fixed interval may not match actual wear.
Condition-based preventive maintenance: acting on actual condition
Definition
Condition-based maintenance triggers work not at a fixed interval, but when an indicator of the equipment's condition exceeds a defined threshold. Vibration, temperature, pressure, oil analysis, power consumption: all these parameters can signal degradation.
Advantages
- Work only when needed → less over-maintenance
- Early detection of degradation → fewer unplanned breakdowns
- Optimized component lifespan
Prerequisites
Condition-based maintenance requires sensors or measuring tools, and an organization able to interpret the data and trigger work at the right time. It therefore assumes a higher level of maintenance maturity than time-based preventive maintenance.
Predictive maintenance: anticipating with data
Definition
Predictive maintenance goes one step further. It relies on IoT sensors, data processing and algorithms (sometimes artificial intelligence) to predict failures before they happen. The technician then steps in just in time: not too early (waste), not too late (breakdown).
A fast-growing market
The predictive maintenance market is growing strongly, and more and more companies are fully digitizing their maintenance processes, with large gaps between large groups and SMEs.
Real ROI
Feedback consolidated by PwC, McKinsey and AFIM (the French maintenance association) points to a 20 to 40% reduction in maintenance costs and 30 to 50% fewer unplanned stoppages for mature predictive maintenance programs (Source: travail-industrie.com, 2026).
Prerequisites and limits
Predictive maintenance is not suited to every context. It requires:
- Investment in sensors and data collection infrastructure
- An analytics platform able to process data in real time
- Skills to interpret signals and trigger work
- Enough historical data for the algorithms to be reliable
For an SME with a limited asset base and standard equipment, the ROI of predictive maintenance can be hard to reach. Time-based or condition-based preventive maintenance is often a better fit.
Comparison of the 4 strategies
| Strategy | Trigger | Cost | Complexity | Best for |
|---|---|---|---|---|
| Corrective | Breakdown has occurred | High (emergency) | Low | Non-critical equipment with a backup |
| Time-based preventive | Fixed interval | Medium (possible over-maintenance) | Low | Equipment with a known lifespan |
| Condition-based preventive | Threshold exceeded | Optimized | Medium | Critical equipment with sensors |
| Predictive | Algorithmic forecast | Optimized + initial investment | High | Large asset bases, heavy industry |
How to choose your maintenance strategy
There is no single right strategy: it varies with the equipment, its criticality and the operating context. A pragmatic approach is to classify equipment along two axes: criticality (impact of a stoppage on production or safety) and failure behavior (random or predictable).
Critical equipment with predictable failures → condition-based or predictive maintenance
Critical equipment with random failures → time-based preventive maintenance + redundancy
Non-critical equipment → corrective maintenance accepted, light preventive maintenance
The key is not to apply the same strategy to all your assets. An effective maintenance plan combines approaches according to the equipment.
The role of CMMS in implementation
Whatever strategy you choose, a CMMS (computerized maintenance management system) is the tool that lets you roll it out and manage it effectively.
For preventive maintenance, it automatically schedules work based on due dates or meters, generates work orders and alerts technicians.
For condition-based maintenance, it centralizes measurements and triggers alerts when a threshold is exceeded.
For performance tracking, it automatically calculates key indicators (MTBF, MTTR, availability rate) that let you assess how well the strategy works and adjust it. You can also calculate your current indicators with a MTBF/MTTR calculator.
To understand how to choose and deploy a CMMS that fits your organization: How to choose CMMS software in 2026. To go further, look at how a CMMS integrates with spare parts stock management.
For an overview of CMMS, see our complete guide to computerized maintenance management. Also discover the K inventory CMMS module to put your maintenance strategy into practice.
Frequently asked questions
What is the difference between preventive and predictive maintenance? Preventive maintenance acts at fixed intervals (time-based) or when an indicator exceeds a threshold (condition-based), without predicting exactly when the failure will occur. Predictive maintenance uses algorithms and historical data to predict when the failure will happen, with time precision. Predictive maintenance is an advanced form of condition-based maintenance, but it needs a more sophisticated data infrastructure.
Is corrective maintenance always bad? No. For non-critical equipment that is easy to replace and has a backup, corrective maintenance is a perfectly rational strategy. The cost of time-based preventive maintenance on all equipment would far exceed the cost of the breakdowns avoided. The key is to identify the critical equipment for which corrective maintenance is unacceptable, and the equipment for which it remains the most economical strategy.
What does unplanned production downtime cost? It varies widely by sector and equipment, but industry estimates put the cost of unplanned breakdowns at between 3 and 8% of annual revenue for manufacturing companies (Source: PwC, 2025). For a critical production line, the hourly cost of a stoppage can reach several tens of thousands of euros. This is the main argument for investing in preventive or predictive maintenance.
Is predictive maintenance within reach of SMEs? Partly. High-end predictive maintenance solutions (IoT sensors, AI platform, data scientist) are often out of proportion for an SME. But intermediate approaches exist: simple vibration sensors connected to a CMMS, periodic oil analysis, infrared thermography. The goal is not necessarily full predictability, but moving from purely corrective maintenance to a more proactive approach.
How do you measure the effectiveness of your maintenance strategy? The key indicators are MTBF (mean time between failures), MTTR (mean time to repair), equipment availability rate and the preventive/corrective ratio. A preventive/corrective ratio above 70/30 is generally considered good practice. A CMMS calculates these indicators automatically from work order data. You can also calculate them manually with a MTBF/MTTR calculator.
