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Challenges Faced While Implementing Predictive Maintenance

Challenges Faced While Implementing Predictive Maintenance

What Is Predictive Maintenance?

One of the main objectives of predictive maintenance is to eliminate all potential issues so that the chances of future asset failure are reduced. In predictive maintenance, the maintenance frequency is minimized without letting assets fail, thereby decreasing maintenance costs.

Predictive maintenance utilizes asset maintenance data and history to detect in advance when an asset failure might occur, and maintenance is provided before failure. Moreover, real-time information and asset conditions are regularly checked.

In simple terms, predictive maintenance is proactive maintenance that ensures assets do not fail and provides maintenance on time before asset failure. This reduces asset maintenance expenses and increases asset uptime and performance, making assets more reliable and decreasing downtime.

Many organizations are investing in predictive maintenance as they recognize how beneficial it can be for their businesses. According to Techsci Research, “The global predictive maintenance market was valued at USD 4.270 billion in 2020 and is projected to grow to around USD 22.429 billion by 2026”.

What Are the Main Predictive Maintenance Challenges While Implementing It?

The main predictive maintenance challenges while implementing it are discussed below:

1. Predictive Maintenance Execution

When you move from old technology to modern technology, it can be a complex process and requires a lot of investment. Furthermore, shifting from one technology to another can be a time-consuming process, so it is also a big challenge. Gathering data from databases and including features such as alerts & notifications, KPI (key performance indicators) for assets, and putting algorithms to determine anomalies, etc., is one of the biggest challenges of predictive maintenance.

2. High Skilled Team

In order to implement predictive maintenance efficiently, the maintenance team should be skilled, trained, and knowledgeable. However, providing training and skill gathering for employees is a time-consuming process. Furthermore, they should know how the software works. Therefore, getting all things in order can be a lengthy process.

3. Security

Data management is always a huge challenge for organizations. As far as preventive maintenance is concerned, it is essential to ensure that asset data and information aren't likely to be accessed by outside parties.

Management also needs to ensure that external entities do not have too much control over the predictive maintenance software. Most importantly, data should not be leaked at all as it can impact the business.

What Are the Benefits of Predictive Maintenance?

The benefits of predictive maintenance are given below:

1. Avoid Over Maintenance

Sometimes organizations provide more maintenance than required. When you overdo maintenance, asset performance does not reach its maximum capacity. Moreover, asset maintenance expenses increase unnecessarily. But with continuous asset monitoring, you can easily avoid this issue.

2. Minimized Sudden Asset Breakdown

Providing maintenance on time decreases the chances of sudden asset failure. A sudden asset breakdown can be dangerous for business as it impacts production work. When production is delayed, other businesses also get affected, and your customers get disappointed. Therefore, it is particularly important to avoid sudden failure, especially when there are other businesses that are dependent on you. But with predictive maintenance, you can easily prevent sudden failure and increase asset performance as well, which will boost your production work.

3. Increased Asset Life

Many organizations do not provide maintenance on time, and as a result, productivity decreases and asset life is shortened. The main reason asset life is shortened is that assets do not get maintenance on time. With predictive maintenance, you can ensure that assets get maintenance on time and asset life is maximized. When asset life is maximized, then the return on investment is also optimized.

4. Set Asset Priority

Setting asset priority is an incredibly significant part of maintenance. If the maintenance team does not know which asset has high priority, then they work on a first come, first serve basis. It can be dangerous for business as high-priority assets will not get maintenance on time and production work will be delayed. Predictive maintenance eliminates this issue and enables you to set the priority of each asset. As a result, the maintenance team knows which asset has high priority and which asset they need to work on an urgent basis.

5. Continuous Asset Monitoring

With this type of maintenance, you can regularly check asset health and schedule maintenance if any problem is found. With continuous asset monitoring, you can ensure that asset failure does not take place or maintenance is done before that.

Conclusion

So, these were the main challenges of predictive maintenance implementation and the benefits you will achieve after implementing it successfully. Predictive maintenance is an essential part of maintenance management software. It helps organizations in several ways, specifically in maintenance management. If you want to utilize predictive maintenance, then investing in asset management software is important.

Frequently Asked Questions (FAQs)

Which Industries Can Utilize Predictive Maintenance?

Predictive maintenance can be utilized in all industries, which are asset-intensive. Some of the major examples are hospitals, manufacturing, automotive, healthcare, oil & gas, and so on.

Why Must Organizations Invest in Asset Management Software?

Asset management software provides several benefits to the organization. It can help the organization in keeping track of every asset. When assets are secured, it eliminates chances of asset theft and misplacement. Asset management also helps in managing asset life efficiently. And it focuses on asset maintenance as well. Furthermore, it is also helpful in asset auditing and asset compliance. Overall, this software is helpful in enhancing the efficiency of the organization and employees as well. Most importantly, this software comes with proactive maintenance features.

What Are the Various Types of Maintenance?

There are several types of maintenance available in the market, but they can be divided into 2 categories: proactive maintenance and reactive maintenance! Proactive maintenance ensures that assets get maintenance before asset failure can occur. Whereas in reactive maintenance, assets are given maintenance after a failure occurs. You can utilize both techniques for asset maintenance, however when asset priority is high, then proactive maintenance is emphasized.

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