Just as the internet of things has altered the way consumers approach communications, entertainment, fitness, and other aspects of everyday life, the industrial internet of things (IIoT) is making its mark on the business world, particularly in the area of predictive maintenance.
On June 7, Evan Votta and I will present the webinar “Keeping the Gears in Motion: How IIoT Drives Predictive Maintenance,” where we will explore the benefits of using IIoT for improving reliability and reducing maintenance costs. We’ll also look at a real-world case study in which we leveraged IIoT to help one of our clients reduce technician costs by 80 percent.
Most companies are aware that reactive maintenance — repairing or replacing a part or system after it has failed — is disruptive and costly, often leading to unplanned downtime, safety hazards, and overtime or callout fees. To prevent failures from occurring, operations teams practice preventive maintenance, which usually involves servicing or replacing parts on a set schedule. However, this can lead to cases of deploying resources or replacing equipment before intervention is warranted, i.e. while the asset is still viable.
Through the use of “smart” sensors and artificial intelligence, businesses can now practice predictive maintenance, which uses performance data to predict when a piece of equipment will fail. Instead of following time-based rules (“replace this valve every six months”), operations managers can receive an alert when a part needs to be repaired or replaced, allowing them to intervene at just the right time, neither too early nor to late.
A good analogy is the way we approach maintenance for our cars. For decades, the rule was to have the oil changed every three months or 3,000 miles, regardless of your driving habits, whether you drove in the city or on the highway, local temperatures and humidity levels, etc. Now we have oil life monitoring systems that measure conditions affecting the quality of the oil and that alert us when it’s time for a change, all by using “smart” sensors. As a result, we can keep our engines running smoothly without unneeded trips to the mechanic (and without creating unnecessary environmental waste).
IIoT lets companies apply this same principle to their equipment, allowing them to get the maximum use out of their assets while still being proactive in preventing failures.
To learn more about how IIoT can help your organization minimize unplanned downtime and reduce operational overhead, register today for “Keeping the Gears in Motion: How IIoT Drives Predictive Maintenance.”
Harish Raju is a senior delivery director with 15 years of experience in strategy, delivery, business development, P&L and team management for digital experiences, cloud integrations and machine learning solutions.