What are the Most Maintenance Metrics: A Detailed List

what are the maintenance metrics list

In the relentless pursuit of business growth, the conventional focus tends to gravitate towards expanding market share and maximizing profits. Undeniably, these pursuits hold immense significance. However, have you ever paused to consider the untapped potential of bolstering your bottom line without embarking on risky expansions? This is precisely where the transformative power of maintenance metrics comes into play.

For decision-makers, maintenance performance metrics are a treasure trove of information. Imagine a world where decisions are made blindly, without any reliable information to guide us. It sounds pretty chaotic, right?

Well, that’s exactly how it can be for businesses that overlook the importance of metrics, especially when it comes to maintenance. Metrics are not just numbers on a spreadsheet. They give decision-makers an insight into maintenance performance, helping them identify bottlenecks, optimize processes, and prevent costly breakdowns.

And in this, consistency and accuracy are vital, just as the saying goes: ‘Garbage in, garbage out.’ Reliable performance data is crucial. By understanding, establishing, and tracking important maintenance metrics, you gain valuable insights to maximize your organization’s potential.

In this article, we will focus on some important maintenance metrics you should track, how to establish them, and tools you can use.

Types of Maintenance Metrics

Maintenance performance measures are essential tools used to measure and evaluate the effectiveness and efficiency of maintenance activities within an organization. These metrics provide valuable insights into the performance of maintenance processes, enabling businesses to identify areas for improvement, optimize resource allocation, and enhance overall equipment reliability. In this section, we will explore metrics across four types of maintenance performance measures: reactive metrics, preventive metrics, predictive metrics, and overall equipment effectiveness (OEE) metrics.

Reactive metrics

Reactive metrics focus on measuring the performance of unplanned or breakdown-related maintenance activities. These metrics provide insights into the frequency and efficiency of reactive maintenance, helping organizations understand the impact of equipment failures and breakdowns on their operations.

One important reactive maintenance metric is the breakdown frequency, which measures the number of equipment failures within a given time period. This metric provides an indication of the reliability and health of equipment. A high breakdown frequency suggests potential issues with equipment reliability or inadequate maintenance practices.

Reactive metrics are significant as they help organizations identify problematic equipment and prioritize maintenance efforts. By monitoring breakdown frequency, businesses can detect patterns, develop strategies to mitigate breakdowns and optimize maintenance resource allocation.

Preventive metrics

Preventive metrics focus on measuring the effectiveness of planned maintenance activities performed to prevent equipment failures and minimize unplanned downtime. These metrics provide insights into the compliance and efficiency of preventive maintenance programs. Below is the representation of a preventive maintenance report:

Preventive maintenance metrics

Source: SlideTeam

One important preventive maintenance metric is planned maintenance compliance, which measures the percentage of scheduled preventive maintenance activities completed within a given time frame. High compliance rates indicate that maintenance tasks are being performed as planned, reducing the likelihood of unexpected breakdowns.

Another key metric is preventive maintenance completion rate, which measures the percentage of planned maintenance tasks successfully executed. A higher completion rate suggests better adherence to maintenance schedules and improved equipment reliability.

By tracking these metrics, organizations can ensure that preventive maintenance tasks are carried out as scheduled, reducing the risk of costly equipment failures.

How to use preventive metrics:

PM compliance measures the percentage of preventive work scheduled and completed within a set timeframe.

For instance, if you have 60 scheduled preventive work orders but only 51 are completed in a month, the PM compliance would be 85%. However, this metric doesn’t indicate if the Work Orders were finished on time.

To track timeliness, using a maintenance software is highly recommended. With a CMMS, you can easily create, assign, and track work orders from one place, ensuring better monitoring and control over maintenance tasks.

Preventive metrics are significant as they help organizations proactively manage maintenance activities, extend equipment lifespan, and minimize unplanned downtime. By monitoring planned maintenance compliance and completion rate, businesses can ensure that maintenance tasks are executed in a timely manner, reducing the risk of unexpected breakdowns and optimizing equipment performance.

Predictive metrics

Predictive metrics focus on measuring the performance of maintenance activities based on real-time equipment data and predictive analytics. These metrics enable organizations to identify potential equipment failures before they occur, allowing for timely maintenance interventions and minimizing downtime.

One important predictive maintenance metric is equipment uptime, which measures the percentage of time that equipment is operational. High uptime indicates reliable equipment performance and effective maintenance practices. By continuously monitoring equipment uptime, organizations can detect anomalies and take proactive measures to prevent potential failures.

Overall equipment effectiveness (OEE) metrics

Overall Equipment Effectiveness (OEE) metrics provide a comprehensive assessment of equipment performance, encompassing availability, performance, and quality. OEE metrics help organizations assess the overall efficiency and productivity of their equipment and maintenance processes.

In an intriguing case study of Avalign Technologies, a leading medical device manufacturer, faced challenges with tracking OEE and machine downtime. They implemented maintenance metrics across their facilities. This resulted in a 25-30% boost in OEE, optimized workforce utilization, millions of dollars in increased capacity without additional equipment, and improved throughput by eliminating bottlenecks.

How to Use OEE Metrics:

A 100% OEE indicates flawless and efficient production without defects or interruptions. By analyzing OEE and its underlying losses, organizations can uncover valuable insights for process improvement. This metric helps identify factors that hinder production, allowing for their elimination. To calculate OEE, simply multiply availability, performance, and quality together.

Analyzing metrics by function

In order to effectively manage maintenance activities, organizations rely on Key Performance Indicators (KPIs) to measure and track their performance. These KPIs provide valuable insights into various aspects of maintenance operations, allowing businesses to identify areas of improvement and make informed decisions. Let’s explore some essential KPIs for maintenance.

Equipment reliability metrics

Equipment reliability metrics focus on measuring the performance and reliability of machinery and assets. These metrics help organizations assess the frequency and impact of equipment failures, as well as the efficiency of repair processes. Some key equipment reliability metrics include:

Mean Time Between Failures (MTBF): This metric measures the average time elapsed between equipment failures. A higher MTBF indicates better equipment reliability and longer periods of uninterrupted operation.

Mean Time to Repair (MTTR): MTTR measures the average time required to repair equipment after a failure or breakdown. A lower MTTR suggests quicker repair times, minimizing downtime and improving operational efficiency.

Failure Rate: The failure rate quantifies the frequency at which equipment experiences failures. By tracking the failure rate, organizations can identify trends and patterns, allowing them to address underlying issues and improve maintenance strategies.

Equipment Downtime: This metric measures the total time that equipment is unavailable for production due to breakdowns or repairs. Monitoring equipment downtime helps organizations understand the impact of failures on productivity and implement measures to minimize downtime.

Maintenance cost metrics

Maintenance cost metrics provide insights into the financial aspects of maintenance operations, helping organizations optimize resource allocation and control expenses. Some key maintenance cost metrics include:

Total Maintenance Cost: This metric represents the overall cost incurred for maintenance activities, including labor, materials, and external services. Tracking total maintenance cost helps organizations assess the financial impact of maintenance operations and identify opportunities for cost reduction.

Maintenance Cost per Unit Produced: This metric calculates the maintenance cost incurred for each unit of output produced. By comparing this metric across different time periods or equipment, organizations can identify variations in efficiency and cost-effectiveness.

Maintenance Cost as a Percentage of Asset Value: This metric measures the proportion of asset value that is allocated to maintenance expenses. A high percentage may indicate the need for better asset management or maintenance strategies.

Inventory management metrics

Effective inventory management is crucial for maintaining smooth maintenance operations. The following metrics help organizations optimize spare parts inventory and reduce costs:

Spare Parts Inventory Turnover: This metric measures how quickly spare parts are consumed or replenished. A high turnover rate indicates efficient inventory management, minimizing the risk of stockouts or obsolete inventory.

Stockouts: Stockouts occur when required spare parts are unavailable when needed. Monitoring stockouts helps organizations identify issues in their inventory management processes and take corrective actions.

Inventory Holding Cost: This metric represents the expenses associated with storing spare parts inventory. By monitoring inventory holding cost, organizations can identify opportunities to reduce carrying costs and streamline inventory management.

Workforce productivity metrics

Workforce productivity metrics focus on assessing the efficiency and utilization of maintenance personnel. These metrics help organizations optimize labor resources and ensure timely response to maintenance requests. Some key workforce productivity metrics include:

Planned versus Actual Labor Hours: This metric compares the planned hours allocated for maintenance tasks with the actual hours worked. By analyzing the variance, organizations can identify inefficiencies and make adjustments to improve productivity.

Labor Utilization: Labor utilization measures the percentage of time that maintenance personnel spend on productive maintenance activities. Monitoring labor utilization helps organizations identify areas of improvement and eliminate non-value-added tasks.

Mean Time to Respond: This metric measures the average time taken by maintenance personnel to respond to maintenance requests or work orders. A lower mean time to respond indicates a prompt and efficient maintenance response, minimizing equipment downtime.

Establishing Effective Maintenance Metrics

When it comes to measuring maintenance performance, establishing effective maintenance metrics is crucial. These metrics provide valuable insights into the efficiency and effectiveness of maintenance activities, allowing organizations to make informed decisions and improve their maintenance processes. In this section, we will discuss the key steps involved in establishing effective maintenance metrics.

Defining clear objectives

The first step in establishing effective maintenance metrics is to define clear objectives. It’s important to identify why you want to measure maintenance metrics and what you hope to achieve through these measurements. Are you looking to reduce downtime, improve equipment reliability, or optimize resource allocation? By clearly defining your objectives, you can ensure that your maintenance metrics align with your organizational goals and strategies.

For example, if your organization’s objective is to minimize unplanned downtime, your maintenance metrics may focus on breakdown frequency, mean time to repair (MTTR), and planned maintenance compliance.

Selecting relevant metrics

Once you have established your objectives, the next step is to select relevant metrics that provide actionable insights. Consider metrics that are aligned with your objectives and have a direct impact on your maintenance processes and assets. It’s also important to take into account industry standards and best practices while selecting metrics.

However, keep in mind that every organization is unique, and what works for one may not work for another. Customize your metrics to suit your specific maintenance processes and assets. This ensures that the metrics are meaningful and provide relevant information for decision-making.

For instance, if you operate in the manufacturing industry, metrics such as equipment uptime, mean time between failures (MTBF), and overall equipment effectiveness (OEE) may be relevant to measure the performance of your maintenance activities.

Implementing data collection and analysis

Once you have identified the metrics you want to measure, it’s essential to establish robust data collection methods and systems. Determine how you will collect the necessary data for each metric and ensure that the data is accurate and consistent. This may involve implementing systems such as CMMS and utilizing sensor data from Internet of Things (IoT) devices.

To analyze and interpret maintenance metrics effectively, it’s crucial to establish a structured process. Assign responsibility to individuals or teams for collecting, analyzing, and reporting the data. Develop clear guidelines on how the metrics will be calculated and interpreted. Regularly review the data and look for trends or patterns that can help you identify areas for improvement.

Setting targets and benchmarks

To drive continuous improvement, it’s important to set realistic performance targets for your maintenance metrics. These targets should be challenging yet achievable. Benchmarking against industry peers and best-in-class organizations can provide valuable insights and help you set appropriate targets.

By comparing your maintenance metrics to those of similar organizations, you can identify performance gaps and areas where you can strive for excellence. Benchmarking can also help you learn from the best practices of industry leaders and adopt strategies that have proven successful.

Continuously monitor and review your maintenance metrics to track progress towards your targets. Regularly communicate the results and performance to relevant stakeholders, such as maintenance teams, management, and executives. This promotes accountability and encourages a culture of continuous improvement.

Tools and Technologies for Maintenance Metrics

To effectively measure and analyze maintenance metrics, organizations rely on various tools and technologies that facilitate data collection, analysis, and reporting. These tools play a crucial role in enabling businesses to make informed decisions, identify trends, and improve maintenance practices. Let’s explore some of the key tools and technologies used for maintenance metrics.


CMMS is a software applications that help organizations manage and track maintenance activities. It plays a vital role in collecting and analyzing maintenance data, providing a centralized platform for storing information related to equipment, work orders, and maintenance history.

It offer a range of features and capabilities that support the measurement of maintenance metrics. They allow for the recording and tracking of equipment breakdowns, repairs, and preventive maintenance tasks. The software can generate reports and dashboards that provide insights into key metrics such as breakdown frequency, mean time to repair, and planned maintenance compliance. These systems streamline data management, enhance data accuracy, and enable organizations to make data-driven decisions to improve maintenance processes.

Internet of things (IoT) and sensor technologies

The Internet of Things (IoT) and sensor technologies have revolutionized the way maintenance metrics are collected and utilized. IoT devices and sensors are embedded in equipment to capture real-time data on performance, operating conditions, and health parameters. This data is transmitted wirelessly and can be used for continuous monitoring and analysis.

By utilizing IoT and sensors, organizations can gather data on equipment usage, energy consumption, temperature, vibration, and more. This real-time data collection enables proactive maintenance practices and predictive maintenance. By integrating IoT data with maintenance metrics, businesses can identify patterns, detect anomalies, and predict potential equipment failures. This empowers organizations to schedule maintenance activities at the optimal time, reducing unplanned downtime and maximizing equipment reliability.

Data visualization and reporting tools

Data visualization plays a crucial role in understanding and communicating maintenance metrics effectively. Visualizing data in the form of charts, graphs, and dashboards allows stakeholders to quickly grasp key insights and identify trends or areas that require attention.

Data visualization tools enable organizations to transform complex maintenance data into intuitive and interactive visual representations. These tools facilitate the creation of comprehensive reports and dashboards that provide a holistic view of maintenance performance. By visualizing maintenance metrics, organizations can easily identify performance gaps, track progress over time, and make data-backed decisions to optimize maintenance activities.

Popular data visualization and reporting tools include Tableau, Power BI, and Google Data Studio. These tools offer user-friendly interfaces, a wide range of visualization options, and the ability to integrate data from multiple sources. By leveraging these tools, organizations can enhance data analysis, improve communication among stakeholders, and drive continuous improvement in maintenance operations.

Wrapping Up

So, there you have it! Maintenance metrics or maintenance indicators may sound like just another buzzword, but they hold the key to unlocking efficiency, productivity, and cost savings in your business. By understanding the concept and importance of maintenance quality metrics, you’re equipped with a powerful tool to optimize your maintenance operations.

Remember, it’s not just about collecting data; it’s about analyzing it, drawing insights, and taking proactive action. You can leverage a powerful CMMS software to manage all metrics at one place.

So, take the time to evaluate your current maintenance practices, identify the right metrics for your specific needs, and implement them effectively. With a well-executed maintenance metrics strategy, you’ll be on the path to operational excellence and success! For any doubts or to seek assistance, please connect with experts at FieldCircle.

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