Let’s say a storm hit your area. For as long as this storm surges, you’ll find it difficult to replenish your food stock or fix a bedroom leak. However, thanks to technological advancements, satellites were able to predict the arrival of the storm before it even hit your area, and so you were warned accordingly.
Since you were informed about the coming storm, you had plenty of time to stock up on food that would last for weeks and fortify your house to withstand strong winds and rains. When the storm arrived, threatening to wreak havoc, you were prepared and properly equipped. This is how predictive maintenance works.
Through the use of this predictive method of preparing for future issues, it becomes increasingly easier to minimize the damage these issues would have otherwise caused.
How it Works
As a company, there are plenty of ways to be able to predict upcoming issues. Among the commonly encountered problems include:
- Seasonal. Obviously, more people travel during the holidays. As a company that offers travelling services, a surge in customer numbers is easy to predict. There’s no reason to be surprised if the workload suddenly doubles or triples, and you find yourself unable to cope with the influx of customers.
To control the damage or manage the traffic, you could improve the software of your site (if you have one), allowing it to handle the traffic surge, or you could limit your services to groups of people that the company can handle instead of biting off more than you can chew.
- Environmental. Whether it’s a storm, tsunami, or earthquake, a natural calamity could easily affect the performance rate of your company. While a vast majority of storms can be predicted, you cannot say the same for earthquakes and landslides.
Any company must be ready for natural disasters which could physically damage data and private property, perhaps through backups or insurance.
- Report-driven. Be sure to read through automatically or manually made reports; some fluctuations are not too evident. Minor things like the addition of new employees or the implementation of alternative software could affect the average performance rate of your company.
In summary, predictive maintenance is the act of implementing prior measures that allow your company to brace and prepare itself for the coming impact. By predicting the issues that a company might face in the long run, one can think up corresponding solutions in advance.
Should a predicted issue come up, just whip out your predictive maintenance plan, and the issue should be easily solved or controlled.