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A Definitive Guide About Predictive Maintenance Software

A Definitive Guide About Predictive Maintenance Software

In order to keep your assets maintained, you need to perform maintenance at regular intervals. But the question is that there are so many types of maintenance available. Some organizations rely on proactive maintenance, some prefer reactive maintenance! Which one to choose? Which one fits your business?

In this blog, we are covering predictive maintenance, which will help you determine whether predictive maintenance suits your business or not! Without further ado, let us begin!

What Is Predictive Maintenance?

Predictive maintenance is a type of proactive maintenance that consistently monitors asset conditions. It keeps track of asset performance with key performance indicators (KPIs). Whenever performance shows a decreasing trend, maintenance is scheduled to fix the issue.

Predictive maintenance ensures equipment is provided maintenance before equipment failure can occur. For this purpose, data history is used, and proactive maintenance algorithms are utilized.

According to Market Research Future, “The global predictive maintenance market is expected to expand at more than 25 percent CAGR to reach 23051 million in 2025 during the forecast period (2027).”

What Is the Objective of Predictive Maintenance?

The objective of predictive maintenance is to optimize the utilization of your resources for maintenance. By knowing when a specific part will fail, the upkeep manager can plan maintenance work just when it is really required, avoiding exorbitant upkeep and preventing sudden equipment breakdown.

Other objectives of predictive maintenance include:

  • Keeping assets monitored to avoid sudden failure.
  • Ensuring equipment is well maintained.
  • Focusing on increasing asset performance and keeping assets optimized.
  • Prolonging asset life.
  • Increasing uptime and decreasing downtime.
  • Minimizing upkeep expenses.

What Are the Advantages of Predictive Maintenance?

Advantages of predictive maintenance are discussed below:

1. Decreasing Asset Failure Chances

When machines are running continuously for a long time, it is important that they get regular maintenance; otherwise, asset failure can occur, which can be very dangerous for business. Predictive maintenance software ensures that equipment gets maintenance as you can set an alert for each piece of equipment.

2. Reduce Maintenance Cost

When you can predict failure and performance indicators are kept monitored, you can easily avoid sudden failure and make the asset more reliable. As a result, your maintenance is stabilized, and expenses are saved.

3. Improved Productivity

Predictive maintenance reduces time spent on maintenance and keeps on decreasing. With predictive maintenance, the number of failures will decrease as well. The maintenance team can focus on enhancing asset performance. Moreover, with predictive maintenance software, you do not have to worry about maintenance scheduling and the maintenance team gets a checklist for each work order, so they already know what activities need to be done. This increases productivity.

4. Extend Asset Life

When you utilize predictive maintenance, it minimizes maintenance expenses, improves performance, and increases uptime. Most importantly, it increases asset life. Predictive maintenance software monitors the condition of each asset and keeps track of it. Providing maintenance on time and monitoring & managing them properly will result in extended asset life.

5. Maintaining Compliance

Many organizations pay huge amounts of penalties due to violations of compliance rules. It is mandatory for organizations to follow rules and regulations as per their industry basis; otherwise, your organization will be penalized. Due to unmaintained assets, several organizations end up paying penalties. But with predictive maintenance software, you can ensure that assets are maintained, and rule violations are avoided, especially related to worker safety, asset safety, and asset maintenance.

What Are the Best Practices of Predictive Maintenance Software?

Best practices of predictive maintenance software are discussed below:

1. Categorize Assets

It is very important that managers identify assets that are critical and non-critical. So while planning maintenance, you can decide on a priority basis which assets shall be given maintenance first. This is an essential practice for the maintenance team to save time by not working on non-critical assets.

2. Utilize Asset Tracking Techniques

Asset tracking techniques can play a crucial role in asset maintenance. Moreover, they provide crucial data that is helpful in analyzing performance. Furthermore, they keep track of assets as well as save them from theft and misplacement. Asset tracking techniques include barcode, QR code, and RFID. These technologies come in the form of tags. One tag is attached to all assets that need to be tracked. With this technique, you can get real-time information as well.

3. Identify Pitfalls

It is crucial to figure out what is the main issue and how it is hindering the productivity of the organization. With data, you can identify several problems and once you figure it out things will be simplified, and business will grow at tremendous speed. With automated software, you can get detailed reports through which identifying problems becomes simple and you can tackle them easily.

Conclusion

Predictive maintenance is significant; however, requirements may vary from one organization to another as this maintenance strategy might not suit all requirements. It is important that you know in advance what you are looking for to find the best maintenance software, such as computerized maintenance management system (CMMS) software or predictive maintenance software.

There is no doubt that predictive maintenance has a lot of potential to minimize maintenance expenses and streamline the maintenance process as well.

Frequently Asked Questions (FAQs)

Why is predictive maintenance software important?

Predictive maintenance software is important because it assists an organization in several ways such as reducing labor work, ensuring safety compliance, repairing and setting alignment right, improving the efficiency of assets, and decreasing overall maintenance expenses.

What are the different categories of maintenance?

Maintenance can be categorized into two categories: proactive maintenance and reactive maintenance. Preventive maintenance falls into the proactive maintenance category along with predictive maintenance and condition monitoring maintenance. Reactive maintenance includes emergency maintenance, breakdown maintenance, and run-to-failure maintenance.

What are the benefits of CMMS software?

CMMS software provides several benefits:

  1. Scheduling maintenance
  1. Maintenance tracking
  1. Asset maintenance history
  1. Purchase order creation and tracking
  1. Ensuring compliance & safety regulation
  1. Work order creation and tracking
  1. Centralized system
  1. Reports and statistics

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