In today’s industrial environment, ensuring the availability and reliability of assets is a strategic priority. To achieve this, companies mainly use three maintenance strategies: preventive, corrective, and predictive maintenance.
Each one follows a different approach: preventing failures before they occur, repairing breakdowns when they happen, or anticipating problems through data and monitoring.
Understanding when to apply each type of maintenance and how to combine them allows for reducing unplanned downtime, improving metrics such as MTTR (Mean Time To Repair) and MTBF (Mean Time Between Failures), and increasing plant productivity.
Types of industrial maintenance
Preventive, corrective, and predictive maintenance are three strategies used in industrial maintenance to ensure equipment availability and reliability.
- Preventive maintenance: carried out on a scheduled basis to avoid failures before they occur.
- Corrective maintenance: applied after a breakdown occurs to restore equipment functionality.
- Predictive maintenance: uses data, sensors, and analysis to anticipate failures before they happen.
These three approaches form the foundation of modern industrial maintenance management, enabling reduced production stoppages, optimized resources, and longer asset lifespans.
| Aspect | Preventive Maintenance | Corrective Maintenance | Predictive Maintenance |
|---|---|---|---|
| Definition | Scheduled interventions to prevent failures before they occur. | Actions to repair equipment after a breakdown occurs. | Monitoring equipment condition using sensors and data analysis to anticipate failures. |
| Time of application | Before failure according to schedule or equipment usage. | After a breakdown occurs. | When data indicates risk of failure, in real time. |
| Initial cost | Medium | Low, but high impact on production | High, due to sensors and technology |
| Impact on production | Minimizes unexpected stoppages | Causes unplanned downtime and delays | Significantly reduces unexpected stoppages |
| Accuracy | Medium, based on estimates and schedule | Only reacts to failure, without anticipation | High, based on real data and trends |
| Examples of use | Periodic lubrication, inspections, and calibrations | Repairing a broken motor or replacing a damaged bearing | Vibration, temperature, or oil analysis sensors to anticipate failures |
| Technological requirement | Low to medium | Low | High, requires sensors, software, and data analysis |
| Main advantage | Extends equipment lifespan and reduces failures | Allows rapid restoration of operation when failure occurs | Anticipates failures, optimizes resources, and reduces downtime |
Definition of preventive, corrective, and predictive maintenance
What preventive maintenance is
In industrial maintenance, preventive maintenance is defined as a strategy based on scheduled interventions aimed at avoiding failures before they occur, through periodic inspections, planned replacements, and technical reviews of equipment.
Examples of preventive maintenance
- Lubrication of moving parts.
- Visual inspections of components.
- Instrument calibration.
- Replacement of filters or consumables.
- Checking electrical connections.
What should be checked in preventive maintenance
- Mechanical condition of components.
- Lubrication.
- Abnormal vibrations and noises.
- Operating temperature.
- Safety and protective devices.
How to create a preventive maintenance plan
To create a preventive maintenance plan, a complete inventory of assets must first be made, identifying all machines, equipment, and facilities that require monitoring.
From this inventory, specific preventive tasks for each piece of equipment are defined, detailing which inspections, reviews, or replacements should be performed.
Next, the frequency of these tasks is established, considering factors such as equipment usage, manufacturer recommendations, and failure history.
Then, the necessary resources are planned, including technicians, tools, and spare parts, to ensure each intervention can be carried out efficiently.
Finally, it is essential to record all completed interventions, creating a history that allows for analyzing results, adjusting frequencies, and continuously improving preventive maintenance effectiveness.
What corrective maintenance is
Corrective maintenance is defined as the set of actions aimed at repairing equipment after a failure has occurred, with the goal of restoring its original functionality as quickly as possible. There are two types of corrective maintenance:
- Planned: after identifying an emerging fault.
- Unplanned: occurs when equipment fails suddenly, requiring immediate intervention.
What predictive maintenance is
Predictive maintenance is defined as a strategy based on monitoring the actual condition of equipment using sensors and data analysis, with the goal of anticipating failures before they occur. There are two types of corrective maintenance:
- Vibration sensors.
- Temperature analysis and thermography.
- Ultrasound.
- Oil analysis.
Examples of predictive maintenance in industry
- Automotive industry: vibration sensors that detect wear in engine line bearings.
- Food industry: temperature monitoring in refrigeration compressors.
- Chemical industry: oil analysis in industrial pumps to anticipate failures.
Evolution of industrial maintenance: from corrective to prescriptive
Maintenance strategies have evolved over time:
- Corrective: repair when it fails.
- Preventive: intervene according to a schedule.
- Predictive: intervene based on equipment condition.
- Prescriptive: use artificial intelligence to recommend the best action.
What prescriptive maintenance is
Prescriptive maintenance is an evolution of predictive maintenance that uses advanced algorithms and artificial intelligence to automatically recommend the best maintenance action, optimizing resources and reducing downtime.
The benefits of combining different maintenance strategies
A hybrid approach using all four industrial maintenance strategies, aligned with methodologies such as Total Productive Maintenance (TPM) or tools like the CAPA system (Corrective Action Preventive Action), allows for optimizing resources and reducing production stoppages.
CMMS to digitize maintenance management
For preventive, corrective, and predictive maintenance strategies to be truly effective, it is essential to have a digitized management of assets and interventions.
CMMS solutions like MapexMM allow all information to be centralized and maintenance work to be coordinated efficiently, ensuring that each strategy is applied at the right time and with the correct resources.
Some of the key features this type of software should include are:
- Calculating essential maintenance KPIs such as MTTR (Mean Time To Repair) and MTBF (Mean Time Between Failures).
- Configuring the asset hierarchy with the equipment on which maintenance tasks will be performed.
- Digitizing all types of documentation.
- Digitizing work order management to streamline the operations of technicians and supervisors.
- Managing preventive maintenance for any type of machinery and defining inspection points.
- Managing spare parts: assigning them to assets, real-time consumption tracking, warehouse location, etc.
- Generating reports on operator times, preventive compliance, costs, and more.
- Conducting inventories of maintenance spare parts or any other inventoried entity.
How Artificial Intelligence is transforming industrial maintenance
CMMS platforms like MapexMM are evolving into intelligent systems that integrate AI-based assistants.
Tools such as Maik, Mapex’s AI assistant, centralize all maintenance knowledge, giving technicians immediate access to documentation and procedures, contextualized information, and real-time support. This reduces MTTR and improves operational continuity.
In summary, preventive, corrective, and predictive maintenance are complementary approaches that allow industrial companies to improve equipment reliability, reduce production downtime, and optimize asset lifecycle management.
The adoption of prescriptive maintenance and digitization through CMMS and Artificial Intelligence further enhances efficiency and asset availability.
FAQs about preventive, corrective, and predictive maintenance
What are the types of industrial maintenance?
The main types of industrial maintenance are corrective, preventive, and predictive. Corrective maintenance is applied after a breakdown, preventive maintenance is scheduled to avoid failures, and predictive maintenance uses sensors and data to anticipate problems before they occur.
What is the difference between preventive and predictive maintenance?
Preventive maintenance is performed at scheduled intervals; predictive maintenance is based on real-time monitoring of the asset, allowing interventions only when there is a risk of failure.
Which type of maintenance is most commonly used in industry?
Most companies combine preventive, corrective, and predictive maintenance; preventive maintenance is the most frequent, while corrective maintenance is used as a last resort.
When should corrective maintenance be applied?
When equipment fails or malfunctions, whether planned or unplanned. Ideally, its frequency should be reduced through preventive and predictive strategies.
Which companies should use predictive maintenance?
Companies with continuous processes or critical assets, such as automotive, energy, chemical, or food industries, benefit the most from this approach.
Which type of maintenance is the most efficient?
The most efficient maintenance is usually a combination of preventive and predictive maintenance.
Preventive maintenance reduces the likelihood of failures through scheduled inspections, while predictive maintenance allows interventions only when data indicates a possible anomaly, optimizing resources and reducing unexpected downtime.
