In the early days of factories, keeping machines running wasn’t as complex. They were large, built tough, and fairly simple. Production wasn’t under as much pressure, and downtime wasn’t such a big deal. However, things have changed for industrial maintenance. Today’s machines are much more complex, with many parts that could break down more often. This is where proactive maintenance comes in.

This article will discuss the modern tools and technologies that help with proactive maintenance strategies. These strategies can identify potential breakdowns and prevent them from happening in the first place.

What is Proactive Maintenance?

Proactive maintenance goes beyond simply reacting to breakdowns. It’s a more thoughtful approach that focuses on preventing equipment failures before they happen. Unlike some other maintenance strategies that address problems after they arise, proactive maintenance aims to identify and eliminate the root causes that can lead to breakdowns. This helps to extend the lifespan of equipment and avoids the need for frequent repairs.

The key to proactive maintenance is regular monitoring and inspections. By keeping a close eye on equipment and identifying potential issues early on, problems can be addressed before they become serious. In mechanical systems, this might involve checking for things like proper lubrication, misalignment, or imbalances. These seemingly minor issues can eventually lead to bigger problems if left unchecked. Proactive maintenance helps to ensure that equipment runs smoothly and reliably for a longer period, making it a valuable approach for many industries.

Why Is Proactive Maintenance Important?

There are several reasons why proactive maintenance is an important practice:

  1. Reduced Downtime: By addressing potential issues before they become problems, proactive maintenance helps ensure equipment operates at its best and minimizes disruptions caused by unexpected breakdowns. This can significantly improve overall productivity.
  2. Extended Asset Lifespan: By regularly inspecting and maintaining equipment, proactive maintenance helps maximize the lifespan of company assets. This reduces the need for premature replacements due to unexpected failures.
  3. Improved Workplace Safety: Proactive maintenance helps identify and address potential safety hazards before they can cause accidents. This creates a safer work environment for everyone.

Proactive Maintenance Workflow

Proactive maintenance is a strategy focused on preventing equipment failures before they happen, rather than reacting to them after they occur. This approach involves several key steps to ensure the longevity and optimal performance of machinery and systems:

  1. Inspection and Monitoring: Regularly inspect and monitor equipment to detect early signs of wear, damage, or potential failures. This step often includes visual inspections, sensor data collection, and performance monitoring to gather accurate information on the equipment’s condition.
  2. Data Analysis: Analyze the collected data to identify patterns and trends that might indicate impending issues. This can involve using software tools and techniques such as predictive analytics, which can forecast future equipment failures based on historical data.
  3. Planning and Scheduling: Based on the analysis, plan and schedule maintenance activities to address identified issues before they result in failures. This scheduling should be done in a way that minimizes disruption to operations and ensures that resources are available for maintenance tasks.
  4. Execution: Carry out the maintenance tasks as planned. This involves having a well-trained maintenance team that can efficiently perform the necessary repairs, replacements, or adjustments to prevent future failures.
  5. Documentation: Thoroughly document all maintenance activities, findings, and any actions taken. This documentation helps in tracking the performance of the equipment over time and provides valuable data for future maintenance planning and analysis.

Types of Proactive Maintenance

Preventive Maintenance (PM)

Preventive maintenance focuses on preventing equipment failures and avoiding unexpected downtime. It involves technicians performing regular maintenance tasks before any breakdowns occur. These maintenance schedules are set based on either how often the equipment is used (like every 1,000 hours of operation) or on a set calendar timeframe (like every month).

Condition-Based Maintenance (CBM)

Condition-Based Maintenance approach focuses on monitoring the actual condition and performance of equipment through real-time data. This allows maintenance to be scheduled when issues are detected, preventing them from becoming major problems.

Scheduled (Periodic) Maintenance

This strategy involves scheduling maintenance tasks in advance, based on set time intervals. These intervals are typically determined by manufacturer recommendations and past maintenance history for the specific equipment or system.

Many organizations find it beneficial to combine these proactive maintenance approaches for different assets. This allows them to tailor the maintenance plan to the specific needs of each piece of equipment.

Examples of Proactive Maintenance

Here are some examples of proactive maintenance:

  • Inspecting Pipes Regularly: Regularly checking pipes for signs of corrosion, thinning, or cracks helps extend their lifespan, keeps them functioning properly, and prevents unexpected failures.
  • Lubricating Machinery: Machines with moving parts need lubrication at regular intervals to reduce friction between surfaces. Remember to store lubricants properly to avoid contamination.
  • Monitoring Tire Tread Depth: Worn-out tires can significantly impact your car’s safety and performance. Checking your tire tread depth is another form of proactive maintenance. Most tires have built-in wear bars that indicate when it’s time for a replacement.

Difference Between Preventive and Proactive Maintenance

Aspect Preventive Maintenance Proactive Maintenance
Frequency Recurring usually follows a regular schedule. Varies depending on the need to address equipment issues.
Primary Goal To keep a machine or equipment working smoothly and prevent machine failure or breakdown. To understand the root cause of an issue that could lead to equipment failure or breakdown and fix the root cause.
Approach Scheduled routine maintenance tasks regardless of equipment condition. Data-driven approach to identify and address underlying issues before they cause problems.
Example Scenario An operator manually applies oil lubricant to an equipment’s chain daily before operations or after 8 hours of use. Reviewing maintenance practices and manufacturer’s instructions, discovering that an oil bath lubrication method is better and only needs annual checks.
Data Utilization Minimal use of data, relies on routine schedules and manufacturer recommendations. Extensive use of data collected from equipment to inform maintenance decisions and root cause analysis.
Maintenance Method Based on predefined schedules and intervals. Tailored to address specific issues identified through monitoring and analysis.
Impact on Downtime Can reduce downtime by preventing predictable failures. Aims to minimize unplanned downtime by addressing potential issues before they escalate.
Cost Efficiency May incur regular maintenance costs regardless of actual need. Potentially more cost-effective by targeting specific issues and reducing unnecessary maintenance activities.
Example of Implementation Regularly scheduled inspections and part replacements, such as changing filters every 6 months. Using predictive analytics to determine the optimal time for maintenance based on equipment performance data.
Technology Integration Can be performed with basic tools and manual processes. Often involves advanced technology, sensors, and data analysis tools to monitor and predict equipment health.

Difference Between Predictive and Proactive Maintenance

These 2 maintenance approaches share a common goal: keeping equipment running smoothly. However, their methods differ slightly.

  • Proactive Maintenance focuses on identifying the underlying causes of potential issues before they snowball into problems. This might involve analyzing past breakdowns, equipment manuals, and industry best practices.
  • Predictive maintenance, on the other hand, relies on real-time data collection. Sensors and monitoring tools track equipment performance, allowing technicians to schedule maintenance based on actual equipment condition, rather than a set schedule.

How NEXGEN Helps You With Maintenance?

Many industries rely on proactive maintenance to keep things running smoothly. This process often starts with implementing a modern and effective cloud-based CMMS system from NEXGEN. This lays the groundwork for smart maintenance practices. NEXGEN’s CMMS helps you improve your preventive maintenance capabilities, allowing you to schedule maintenance tasks before problems arise.

Organizations can then build on this foundation by installing condition-monitoring sensors on equipment that’s prone to problems. Over time, the historical data collected can be used for developing predictive maintenance models with the help of data scientists. This allows you to anticipate and prevent equipment failures before they happen.

Ready to explore how NEXGEN’s CMMS can benefit your maintenance practices?