Key takeaways
- Five primary maintenance strategies exist: reactive, preventive, condition-based, reliability-centered, and predictive. Each one suits different asset types, budgets, and operational goals.
- No single maintenance strategy fits every asset. The most effective programs combine multiple approaches based on asset criticality, failure modes, and available resources.
- Transitioning from reactive to proactive maintenance reduces unplanned downtime, lowers long-term costs, and improves workplace safety.
- Data collection and analysis form the foundation of any successful maintenance strategy, enabling continuous improvement and informed decision-making.
- A computerized maintenance management system (CMMS) helps teams track, refine, and scale their maintenance strategies across facilities.
Choosing the right maintenance strategy for each piece of equipment can mean the difference between a smooth-running operation and one plagued by disruptions and downtime. According to Siemens' 2024 True Cost of Downtime report, unplanned downtime now costs the world's 500 largest companies roughly $1.4 trillion per year, even as the frequency of incidents has declined. The message is clear: getting your maintenance strategy right for your assets has never mattered more.
In this guide, you’ll learn about five different types of maintenance strategies, how to choose the best approach for your assets, and how to put each one into action across your facility.
What are the five different types of maintenance strategies?
A maintenance strategy is the structured approach your team uses to keep equipment and assets running reliably. It determines what maintenance work is done on equipment, when it’s done, and the intended outcome of the work. The right strategy depends on the asset, the risk of failure, and the resources available. The five different types of maintenance strategies covered in this guide include:
- Reactive maintenance
- Preventive maintenance
- Condition-based maintenance
- Reliability-centered maintenance
- Predictive maintenance
Reactive maintenance (breakdown maintenance)
What is reactive maintenance?
A reactive maintenance strategy, also known as run-to-failure maintenance or breakdown maintenance, involves delaying all maintenance work until assets malfunction or break down.
This maintenance management program requires little in the form of proactive work on the team's part. While it may seem counterintuitive to let a piece of equipment break, there are some situations where reactive maintenance can be appropriate.
For example, say you have a limited maintenance budget and a small staff dedicated to maintenance and reliability work. Taking several hours out of the production schedule to tune up equipment and machines that appear to be working fine may not be a viable or intuitive approach.
However, if you're running a facility with limited maintenance staff, unplanned downtime can also cause serious losses in revenue and productivity. Choosing the right time and assets to do reactive maintenance on is critical to ensuring catastrophic failures don’t cause massive damage to your facility.
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What's the right amount of reactive maintenance?
How often should you plan to let equipment run to failure? While there's no single correct ratio, experts recommend dedicating roughly three-quarters of maintenance activities to proactive work and the remaining quarter to reactive work.
Why bother with reactive maintenance?
If proactive maintenance should take 80% of your time, it probably sounds like a more beneficial approach than reactive. And while it's advisable to aim to prevent malfunctions in most cases , you shouldn't abandon reactive work completely. Reactive maintenance is inevitable: despite your best efforts, breakdowns and malfunctions will happen.
Have a corrective action plan ready
While you want to limit the amount of reactive maintenance that you perform, you should have a robust corrective maintenance plan in place for when equipment does break down. Corrective maintenance refers to actions taken to correct a malfunction or restore a piece of equipment to functionality.
Having a corrective action plan in place means that when equipment goes down, you aren't wasting precious time figuring out how to restore functionality. Without a plan, you will face hurdles, including assembling the right maintenance team, understanding the problem, and determining how to solve it. As a result, you may struggle to get operations back up and running as soon as possible.
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When to choose reactive maintenance
When considering a reactive maintenance strategy, weigh the cost of performing regular maintenance against the cost of asset failure. If the cost of ongoing proactive maintenance outweighs the cost of downtime, repair, and replacement, reactive maintenance is the right program for that asset. Maintenance costs should never exceed those incurred from a breakdown.
For example, it wouldn’t make sense to replace a functioning lightbulb every couple of months. Instead, you’d wait for the lightbulb to burn out before replacing it. This is an example of reactive maintenance that makes sense. On the other hand, it wouldn’t make sense to wait for a key production asset, like a main conveyor system, to fail before fixing it as it would lead to costly production stoppages that would easily be more expensive than shutting down production for an hour every month to inspect and replace components.
Limitations of reactive maintenance
Although one major appeal of reactive maintenance is its low cost, the short-term gains from limiting activities to only the assets that break down can often be offset by significant losses in the long term from increased downtime and production disruptions. Over an asset's life cycle, the cumulative cost of emergency repairs, expedited parts, and lost production from a reactive-only approach typically far exceeds the investment in planned maintenance.
In some instances, fixing assets after they break down can be costlier than preventing them from breaking down in the first place. Emergency repairs and replacement parts can be more expensive than regular maintenance work, as they tend to require additional time and resources to restore availability.
The unpredictability problem
With reactive maintenance, you don't know the kind of day you're going to have, what kind of schedule to realistically expect, what production output to anticipate, or how to make any serious plans. You go in each day knowing there's a possibility someone grabs you in the hallway and stops you from eating lunch because something needs fixing right away.
As a maintenance manager, you want to be able to plan out your day knowing that, for the most part, your schedule will hold. You can take breaks at certain times, check in with workers at other times, and schedule meetings when convenient. Leaning entirely on a reactive strategy means everything is up in the air, which puts a lot of pressure on leaders.
Imagine you're driving a car, and it breaks down in the middle of the road. Your passengers are agitated and confused about what's happening. You're supposed to know what to do, and everyone is looking to you for a solution. What you're feeling at that moment is stress, which is not at all the clear-headed approach you need when deciding how to fix equipment.
Operational risks of a reactive-only approach
Relying solely on a reactive maintenance program also introduces unnecessary risk to your operations. Unexpected equipment breakdowns pose a safety risk to operators and the employees on the shop floor. Lack of regular maintenance and inspection may lead to regulatory and compliance violations and fines.
The unpredictability of asset breakdowns makes it challenging to budget and allocate resources accordingly, posing a strain on company resources.
Preventive maintenance (planned or scheduled maintenance)
What is preventive maintenance?
Unlike reactive maintenance, preventive maintenance (PM) aims to prevent breakdowns from occurring in the first place. PM is a proactive maintenance strategy built on regular and recurring equipment inspections that protect assets, keep equipment in good working condition, and prevent unplanned downtime.
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Preventive maintenance can follow a schedule based on usage, calendar, or time period. These types of scheduled maintenance fall under periodic maintenance.
When to choose preventive maintenance
PM is most effective when equipment and parts wear follow a predictable pattern, allowing you to schedule maintenance based on time intervals or usage. Following manufacturer guidelines for maintenance also ensures compliance with warranty conditions and aligns with established best practices based on extensive testing.
Preventive maintenance does much more than keep assets available for production. By keeping equipment in good working condition, you can ensure that you eliminate any potential issues with quality due to equipment malfunction. Well-maintained equipment delivers better products, as Tosca discovered after boosting overall equipment effectiveness (OEE) by 25% through structured maintenance tracking.
Maintenance is collaborative, and while reducing unplanned downtime is a key benefit of preventive maintenance, this strategy works hand-in-hand with quality and safety management.
Reducing risk with proactive care
With a reactive strategy, you not only have no idea when your assets will fail, but also how it will fail. A small failure and a breakdown bearing serious health and safety consequences are equally likely. Taking control with preventive maintenance means you can significantly reduce the risk of catastrophic failures that compromise the safety of your staff and facility.
To create an effective PM strategy, begin with a thorough inventory of assets. Then, determine priorities by defining the pieces of equipment that require regular maintenance, and are critical for production and safety. Determine your ideal PM intervals based on your workforce capacity, individual asset requirements, and regulatory requirements. After scheduling recurring work orders, be sure to continually assess your progress to identify areas to improve and adjust your maintenance plans where necessary.
Examples of preventive maintenance include:
- Conducting routine lubrication and alignment checks on electric motors to prevent overheating and ensure efficient operation, following a schedule based on operational hours
- Replacing filters and inspecting ducts at regular intervals to maintain air quality and system efficiency, preventing unexpected breakdowns and prolonging equipment life
Consider how long an asset will last without maintenance and how much it will cost to replace it, then weigh that against the potential cost of running regular PMs for that duration. Also, determine if these assets have failure modes that regular maintenance can prevent. If an asset only experiences failures due to random errors that preventive maintenance can't address, preventive maintenance wastes time and money and becomes redundant.
Limitations of preventive maintenance
Preventive maintenance is a cost-effective approach that saves money by preventing breakdowns and any consequent production losses. The guiding principle is that the hours and resources spent on routine activities will add up to less than those that would otherwise go into restoring asset functionality during downtime.
However, finding that balance can be challenging. Poorly planned preventive maintenance can lead to redundant or unnecessary maintenance work, taking up assets and human resources that could be useful elsewhere. And managing multiple PM schedules for a range of assets can become increasingly complicated.
A preventive maintenance strategy is also redundant for non-repairable or single-use assets. Replacing assets that are either nearing the end of their life cycles or beyond repair is usually more practical than putting in the time and effort to prolong their already limited lives.
Condition-based maintenance
What is condition-based maintenance?
Condition-based maintenance (CBM) is a proactive maintenance strategy focused on monitoring and evaluating the actual condition of equipment and assets to determine when you should perform maintenance. CBM relies on continuous or periodic monitoring of equipment condition using various diagnostic tools and techniques.
CBM can minimize downtime and reduce overall maintenance costs. With this strategy, you start maintenance tasks only when certain indicators suggest a decrease in performance or impending failure.
For example, a common application of condition-based maintenance involves using pressure readings on piping systems. Maintenance staff monitor pressure levels, allowing them to identify when potential leaks may occur. Organizations that rely on pipe or liquid systems, like food and beverage producers, use CBM to track pressure and diagnose problems.
Six primary condition-based monitoring techniques
While many machine readings can be gathered manually by maintenance technicians, there are also CBM technologies that continuously collect data while equipment operates. These devices record numbers at given intervals or continuously through visual inspections, sensors, and scheduled tests. The six primary condition-based monitoring techniques include the following:
- Vibration analysis: Measures the vibration frequencies and levels of machinery. Maintenance teams use this information to analyze the health of equipment and its components to detect problems such as bent shafts, resonance, looseness, bearing failure, and imbalance.
- Infrared thermography: Uses thermal imagers to detect radiation from an object. The imagers convert the radiation to temperature and display its distribution in real time. This process helps detect when a piece of equipment is overheating. Maintenance teams mostly use thermal imaging to check the levels of gas, liquids, and sludge, inspect bearings, examine refractory insulation, and monitor mechanical and electrical conditions of motors.
- Ultrasonic analysis: Detects and converts high-frequency sounds into audio and digital data to help identify potentially failing assets. Contact (structure-borne) methods generally detect faults such as lubrication problems, bearing faults, broken rotor bars, and gear damage. Non-contact (airborne) methods help detect pressure and vacuum leaks on compressed gas systems.
- Oil analysis: Maintenance teams analyze oil health, contamination, and machine wear. They can determine whether the additives are active or depleted and whether the viscosity is correct. An oil analysis program will help confirm if a piece of equipment is operating as it should.
- Electrical analysis: Focuses on the incoming power quality of assets. Circuit current is measured using motor current readings from clamp-on ammeters. Electrical analysis helps determine if an asset has an abnormal electricity supply.
- Pressure analysis: Equipment carrying air, gas, or fluid needs to maintain the correct pressure. Maintenance teams use pressure analysis to continuously monitor real-time pressure levels. They get alerts to sudden drops or spikes and can respond before the issue becomes more serious.
When to choose condition-based maintenance
Condition-based maintenance is most effective when applied to critical equipment and assets that would significantly affect production, safety, or operations upon failure or have high maintenance and repair costs. CBM works best with assets that have well-defined failure modes and experience gradual and predictable wear and tear over time. Before choosing CBM, ensure that you have ready access to monitoring technologies, such as sensors, that are compatible with your equipment.
An example of when to use condition-based maintenance is monitoring vibration on a centrifugal pump on a food processing line. CBM works well in this scenario because pump problems develop gradually and produce measurable warning signs. Bearing wear or misalignment typically causes vibration and temperature to rise before failure.
Monitoring those conditions lets the team maintain the pump only when deterioration is detected, avoiding unnecessary scheduled maintenance while reducing the risk of an unexpected production-line shutdown. When vibration exceeds a set threshold, indicating possible bearing wear or misalignment, maintenance can be scheduled before the pump fails.
Limitations of condition-based maintenance
CBM offers several advantages, but it's important to recognize its limitations as well. The initial costs of setting up condition-based monitoring systems can be high due to the need to invest in sensors, meters, and other monitoring instruments.
Condition-based maintenance may also be less effective in harsh working conditions, where sensors are vulnerable to damage or exposed to noise. For less critical or simpler equipment, the cost and effort of setting up CBM may be difficult to justify.
Reliability-centered maintenance
What is reliability-centered maintenance?
Reliability-centered maintenance (RCM) focuses on creating systematic and structured approaches for maintaining individual assets. Its primary goal is to ensure that maintenance efforts focus on activities that maximize the reliability and performance of assets while minimizing costs and operational risks. RCM involves first conducting a detailed analysis of possible failure modes and their potential impact and then creating custom plans to prevent them.
RCM aims to answer four critical questions about the maintenance of individual assets:
- What are the functions of the asset? How has it performed in the past?
- What are the potential failure modes and causes for each asset?
- What are the consequences of these failures in terms of safety, environmental impact, and financial losses?
- Which maintenance tasks, whether proactive (preventive) or corrective, should teams apply to mitigate these consequences?
You want to assess the potential consequences of the failures to figure out how to prevent them. Repeat this for all assets, creating a tailored maintenance approach for each piece of equipment, improving reliability, and ensuring assets remain available at all times.
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When to choose reliability-centered maintenance
RCM is a strong option if you need to assign maintenance strategies based on specific equipment needs. Instead of applying one maintenance strategy (preventive, reactive, or predictive) across the entire facility, RCM uses data to customize solutions by ranking assets according to criticality. RCM is a good fit for facilities with assets that vary significantly in criticality and helps teams allocate resources based on priority.
Limitations of reliability-centered maintenance
By providing custom solutions for different assets, RCM can be incredibly powerful when dealing with equipment whose malfunctions could have disastrous impacts on revenue, production, and safety. However, creating these solutions requires detailed maintenance data, an elaborate integration process, and a lot of time and resources.
If you have the resources to dedicate staff to integrate RCM across your assets or are willing to work with a partner experienced in this field, then this might be for you.
Similarly, if you have detailed and clear maintenance logs, you'll have an easier time with RCM. Without the proper data, RCM can be more challenging than it's worth.
Predictive maintenance
What is predictive maintenance?
Predictive maintenance (PdM) is a form of proactive maintenance that uses equipment condition information (like temperature, pressure, and other asset health factors) to predict imminent failure.
Unlike condition-based maintenance, the data collected incorporates advanced analytics, data mining, and machine learning algorithms to look for patterns and trends, and predict the future state of the asset. Maintenance teams can use the equipment downtime predictions to isolate maintenance tasks to only the most necessary assets to reduce any redundant maintenance work.
The key distinction between CBM and PdM is that PdM focuses on forecasting future conditions to plan maintenance, whereas CBM primarily reacts to current equipment conditions. According to research from the U.S. Department of Energy, predictive maintenance programs deliver a 25% to 30% reduction in maintenance costs and a tenfold return on investment compared to reactive approaches.
Industrial internet of things and predictive maintenance
PdM uses condition-monitoring sensors to track equipment conditions in real time. These sensors function using the Industrial Internet of Things (IIoT), which are devices and interconnected instruments networked with computer applications to enhance manufacturing, maintenance, and other industrial activities.
Examples of PdM sensor devices include:
- Vibration analysis equipment
- Ultrasonic acoustic technology
- Other equipment that monitors factors related to equipment health
PdM feeds the data collected through the sensors into machine learning algorithms to predict potential failures by comparing an asset's present behavior with its expected behavior and past behavior. In this case, anomaly (abnormal behavior) detection triggers PdM.
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When to choose predictive maintenance
Predictive maintenance only makes sense when you have the necessary data collection and analysis capabilities in place, as it relies heavily on real-time monitoring and analysis of equipment conditions through complex predictive algorithms. Without the necessary infrastructure in place or the willingness to invest in the required infrastructure, setting up a predictive maintenance strategy successfully is difficult.
For example, a gearbox on a manufacturing conveyor drives materials between production stations. Sensors track vibration, temperature, and oil condition, while predictive software identifies patterns that suggest gear or bearing wear.
Predictive maintenance works here because the system can estimate when the gearbox is likely to fail, giving the team time to schedule repairs before the conveyor causes an unplanned production stoppage.
For maintenance teams ready or willing to invest in predictive maintenance, you can increase the reliability of assets, decrease maintenance costs, and reduce unplanned downtime. And with 95% of adopters reporting positive ROI, the business case is getting harder to ignore.
Maintenance strategies summary chart
How to build a maintenance strategy
Building a balanced maintenance strategy that assigns the right level of maintenance to the right asset requires a structured approach that aligns your resources, goals, and asset needs. Whether you're starting from scratch or refining an existing program, these steps provide a proven framework for success.
Assess your current maintenance operations
Before selecting any strategy, you need a clear picture of where your maintenance program stands today. Review your current reactive-to-proactive maintenance ratio, identify recurring equipment failures, and document the total cost of unplanned downtime. This baseline helps you set realistic goals and measure improvement over time.
Inventory and classify your assets
Create a comprehensive list of all equipment and assets in your facility. For each asset, record its function, replacement cost, failure history, and impact on production if it goes offline. Then classify assets by criticality, separating mission-critical equipment from secondary and non-essential items. This classification drives every subsequent strategy decision.
Match strategies to asset classes
Assign the appropriate maintenance strategy to each asset class based on criticality, failure patterns, and cost considerations:
- Critical assets with predictable wear patterns are strong candidates for preventive or predictive maintenance
- Non-critical, low-cost items may warrant a run-to-failure approach
- High-value assets with accessible sensor data benefit from condition-based monitoring
Most facilities end up with a blended program that applies different strategies to different asset groups.
Choose the right tools and technology
Your maintenance strategy is only as strong as the tools supporting it. A CMMS centralizes work orders, schedules preventive tasks, tracks asset history, and provides the reporting needed to refine your approach. Mobile-first platforms ensure technicians can access procedures, log data, and communicate in real time from the shop floor, cutting mean time to repair (MTTR) by up to 90%, as Ahlstrom achieved by centralizing tribal knowledge in a single system.
Measure, refine, and iterate
Track key performance indicators (KPIs) such as mean time between failures (MTBF), planned maintenance percentage, and overall equipment effectiveness (OEE). Use this data to identify which strategies are delivering results and which need adjustment.
Continuous improvement is what separates a static maintenance plan from a dynamic, high-performing program, achieving the kind of gains that helped Cintas roll out a standardized maintenance platform across 200 sites in less than three months.
Choosing the right maintenance strategy for your facility
You'll be hard-pressed to find a facility that depends exclusively on one strategy. As much as a preventive maintenance program helps to reduce costs, maintain uptime, and prevent emergency shutdowns, a reactive maintenance plan is necessary to handle emergencies when they occur. Consider these factors as you build your maintenance program:
- The assets in question: Thoroughly examine your asset register to determine which type of maintenance each asset requires. What do manufacturer guidelines say regarding how and when to approach maintenance? Do any compliance regulations apply to particular pieces of equipment? What do you and your maintenance team notice about these assets, and how do they perform when used? Consider the potential costs of equipment failure for each asset and the cost of equipment monitoring to prioritize maintenance on specific assets.
- Internal capabilities and resources: No matter how robust your resources are, you don't want to waste any of them. Think about ways to make the most of your maintenance staff and spare parts when creating a maintenance strategy. Do you have enough staff to carry out each of your maintenance strategies? And what would it cost you to rely strictly on reactive maintenance?
- The available data: When carrying out any strategy, be sure to collect, record, and analyze data constantly. Use this data to identify which actions produce your desired results and which do not. Robust data saves you the trouble and energy of remembering details. Even in the absence of an expert, the knowledge is within the system. Not only will you have access to knowledge about how you handled problems in the past, but you'll be able to identify trends, start incremental improvements, and manage your time more effectively. With this in mind, continue to reiterate and fine-tune your maintenance approach for constant improvement.
The final word on maintenance strategies
The right maintenance strategy isn't a single approach applied uniformly across your facility. It's a deliberate combination of reactive, preventive, condition-based, reliability-centered, and predictive methods, each matched to the assets and operations that benefit most.
The most successful maintenance teams share one trait: they treat their strategy as a living system. They collect data, measure results, and continuously adjust their approach based on what the numbers reveal. Every asset breakdown is a learning opportunity, and every prevented failure validates the investment in proactive maintenance.
Your next step is clear. Audit your current maintenance operations, classify your assets by criticality, and start applying the right strategy to the right equipment. With the right approach and the right tools, you can reduce unplanned downtime, extend asset lifespans, and build a maintenance program your team can rely on. Sign Up For Free.
Maintenance strategies FAQs
What is the most cost-effective maintenance strategy for manufacturing facilities?
Preventive maintenance is typically the most cost-effective starting point for manufacturing facilities. It reduces unplanned downtime and emergency repair costs by addressing equipment issues on a set schedule. For higher-value assets, pairing preventive maintenance with condition-based or predictive approaches can further reduce costs by eliminating unnecessary maintenance tasks.
How do you transition from reactive to preventive maintenance?
Start by identifying your most critical assets, the ones whose failure causes the greatest production losses. Create preventive maintenance schedules for those assets first, based on manufacturer recommendations and historical failure data. Gradually expand your preventive program to additional equipment as your team builds confidence and your data improves. Aim for roughly a 75/25 split between proactive and reactive maintenance over time.
Can you combine multiple maintenance strategies in one facility?
Combining strategies is the standard approach for well-run facilities. Most operations apply preventive maintenance to critical equipment, reactive maintenance to low-cost non-essential items, and predictive or condition-based maintenance to high-value assets where sensor data is available. The key is matching each strategy to the specific needs of individual asset classes.
What role does a computerized CMMS play in maintaining a maintenance strategy?
A CMMS serves as the operational backbone for any maintenance strategy. It automates work order scheduling, tracks asset history, manages spare parts inventory, and generates performance reports. Without a CMMS, maintaining consistency across multiple strategies and tracking key metrics becomes difficult, especially in multi-site operations.
How do you measure the success of a maintenance strategy?
Track KPIs including MTBF, planned maintenance percentage, preventive maintenance compliance, OEE, and maintenance cost as a percentage of replacement asset value. Comparing these metrics over time reveals whether your strategy is reducing downtime, extending asset life, and delivering a positive return on investment.
Lekan Olanrewaju is a content writer with years of experience in media and content creation. He has held positions at various media organizations, working with and leading teams at print magazines, digital publications, and television productions.
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