OMEGA Engineering Helps Customers Get Started with Predictive Maintenance

Aug. 22, 2018
Staying on top of critical maintenance issues at a plant can be a challenge. While many processes remain in a reactive mode, implementing a predictive maintenance program to a plant of any size can help companies anticipate problems, saving time and money in the long run.

Staying on top of critical maintenance issues at a plant can be a challenge. While many processes remain in a reactive mode, implementing a predictive maintenance program to a plant of any size can help companies anticipate problems, saving time and money in the long run.

However, figuring out how to implement a predictive maintenance program can feel overwhelming or cost-prohibitive. “We have been hearing from customers that they’re not sure where to begin—whether that’s determining if a predictive maintenance approach makes sense for their environment or what equipment they need and how to set it up,” says Greg Wright, chief marketing officer at OMEGA. “It is a real challenge that is only solved by getting the information and expertise to create better purchasing experience that suits all sizes.”

By launching a new informational site for Predictive Maintenance, that is exactly what Omega hopes to provide. From food and beverage types of applications, such as being able to automate the monitoring of the temperature of equipment or food products, to other manufacturing environments, OMEGA offers simple, off-the-shelf solutions, including sensors, connected devices, and OMEGA Gateway Enterprise (OEG) software that can collect the data and send automated alerts.

“Every business has some equipment they rely on,” says Cyrus Grimes, Product Management Lead at OMEGA. “Predictive maintenance programs let customers to go after the highest value assets first and then they can build out and expand over time from there.”

Customers can learn how their current maintenance program stacks up and calculate how much time and money their plant can save with a simple predictive maintenance program by visiting https://www.omega.com/predictive-maintenance/.

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