Are you still having doubts about investing in a program of predictive maintenance? We’ll you shouldn’t. 

Almost all management strategies have action plans for corrective and preventive maintenance. As expected, the goal is like a dynamic maintenance approach to avoid equipment crashes and very dear maintenance costs. Therefore, a lot of asset management strategies include both preventive and corrective maintenance action plans.

However, most maintenance managers miss investing in a very significant part of an incredible and intelligent maintenance strategy called predictive maintenance.

Predictive Maintenance: What Is It?

Predictive maintenance is a type of maintenance that directly keeps track of the condition and performance of equipment during normal operation to reduce the likelihood of failures. The main objective of predictive maintenance is to locate potential equipment breakdown as soon as possible to stay away from needing more complicated maintenance activities in the future.

A predictive maintenance plan that is great and successful only holds assets that are more likely to become a failure due to a particular condition or situation. This means that the situation is identified, and the preservation is carried out just before a malfunction happens.

This reduces the spare parts costs and supplies, lessens the time used on each piece of equipment, and increases the safety of your workplace.

Suppose we were to describe machines’ “health” by using an analogy with the human body’s health. In that case, predictive maintenance could be matched to medical tests conducted in people who are more likely to get seriously sick due to an existing condition. 

Investing in predictive maintenance software is linked with big value savings due to its benefit of avoiding machine failure. 

How does it work?

It judges the condition of equipment by performing periodic or continuous (online) equipment condition monitoring. Most predictive maintenance is conducted during the equipment’s operation to minimize interference in everyday operations. This maintenance strategy supports the principles of statistical process control to determine when maintenance tasks need to be done in the future.

For instance, rather than changing a vehicle’s oil because drives hit 3,000 miles, predictive maintenance empowers organizations to collect oil sample data and change the oil based on the results of asset wear. For predictive maintenance to be successful, it needs both hardware to keep track of the equipment and software to produce the corrective work order when a potential problem is identified.

Predictive Maintenance: Its Benefits

The guarantee of predictive maintenance is that consistently keeping track of the mechanical conditions of assets and the system’s performance while it is operating normally will give you benefits such as the increased time interval between repairs, leading to investment optimization.

Let’s discuss other specific perks of predictive maintenance that can give benefit to your organization:

Lesser equipment failures

Equipment breakdown is something that needs to be shied away from by every maintenance head as it can have serious unfavorable after-effects. A predictive maintenance program can reduce unexpected failure by up to 90% — which means almost kicking away breakdowns.

Increased asset lifetime

After using a strategy of predictive maintenance, companies cut down not only the gravity of damages but also decrease the multiplication of defects. That’s due to a dilemma in a cheap part that can lead to failure in a vital part, which can make the asset lifecycle shorter.

Precise assets data

One of the advantages of having predictive maintenance software is the software’s ability to use sensor data to make predictions about the mean time between failures (MTBF). Having an entry to see this data enables facility managers to know the most cost-effective time for machinery replacement, rather than regularly scheduling costly maintenance tasks that will not make the equipment in the greatest status in a long time. 

Verification of repairs efficacy

Predictive maintenance sensors can be utilized to do vibration analysis, oil analysis, equipment observation, thermal imaging, and more. And that’s not only during everyday operations. These sensors are also used to test whether a repair was successful before the machine functions again.

Thi heightens security and removes the need for a next shutdown, which tends to be required to adjust inadequate or incomplete repairs.

Risk management and workplace safety are the main concerns of facility managers. Accidents in the workplace related to machine failure are hazardous and can also lead to lawsuits with a big financial impact.

Noticing equipment and maintenance problems early reduces the risk of calamitous failures, avoiding injury, and even death.

Increased ROI

By staying away from complicated machine breakdowns, maintenance teams need to invest fewer resources in maintenance tools and services. At the same time, maintenance technicians and managers are able to boost work productivity as they have more time to focus on more significant maintenance tasks.

Deciding Which PdM Software To Invest In

Choosing the best software can be tricky since there are already a lot of them in the market. If you want to introduce predictive maintenance to your business and cut related costs, you should invest at Fatrix.

Fayrix has been particularly created to bring IT innovation to traditional commercial procedures of IT companies. They are 100% online in terms of sales and marketing, so it does not have any travel, representative, or rental costs. Because of that, they are able to save their budgets and offer you the most affordable rates, while maintaining the highest level of services provided. Truly, Fayrix is the most innovative and digitally advanced project.

They are fully flexible and can give their client services from hiring a single specific developer to building a whole offshore development center.