How to Build a Successful Predictive Maintenance Program

ABSTRACT

 

HOW TO BUILD A SUCCESSFUL PREDICTIVE MAINTENANCE PROGRAM

 

For many organizations, predictive maintenance is the goal. However, the challenge is that most companies do not know how to get started. For organizations pursuing predictive maintenance for the first time, it can be hard to tell what systems and processes need to be implemented to be successful. For some organizations, they may have the sense that they are on the brink of predictive maintenance but are not getting the picture they need.
To implement a successful predictive maintenance program, the fastest and easiest way to get started is to pair an effective APM solution with your existing sensors and data historian. Together, these systems can analyze thousands of data points to catch asset issues early so that you can address them before they become costly failures. In an ideal setting, once the issues are diagnosed, these are sent from your APM system to your enterprise resource planning (ERP) system.
In this session, we will walk through how implementing predictive maintenance can provide your organization with a strategic advantage, best practices for implementing predictive maintenance, how to find the correct asset performance management system, and things to keep in mind when implementing a predictive maintenance program.
You will walk away with the knowledge needed to start the journey of shifting your maintenance to a predictive state. By achieving successful predictive maintenance, your organization can reduce costs, maximize asset reliability, reduce incidents, and gain a competitive advantage in your industry.

 

Callum Brown, Sr. Solutions Engineer at Prometheus Group

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