Get Your EAM off the Ground

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EAM Booster Packs™ are the result of decades of reliability engineering and maintenance practice improvement projects. Our tools assist in building the foundation you need to help you achieve EAM Best Practices. Delivered independently or through Catapult™, the solutions include:

FMEA Library

Unlike any other in the market, MRG maintains an FMEA library of over 300 templates based on equipment class/subclass. Each template represents more than eight hours of labor savings. As a collection, the standardization they are built on delivers many person years of value.
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PM Library

Job plans are based on the FMEA library and identify specific preventive and predictive maintenance tasks that mitigate each failure-mode-specific to the equipment class and sub-class.

Failure Hierarchy

Failure code lists are developed from FMEA information to provide a unique set for each equipment class/subclass. This system provides a consistent, uniform reporting capability throughout the company and helps identify key problem areas in equipment.
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Items Library

The MRG Items Library consists of over 1 million standardized MRO parts. Each part has been cleansed and researched by experienced inventory engineers to ensure the part is identified with the correct class/subclass assignment and populated with the appropriate attributes.
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Habit 3, “Put First
Things First.”

A major first things first activity is the compilation of CMMS foundational data. Without good data, job prioritization is often at the whim of the squeaky wheel. Too many companies have yet to adopt Habit 1 (Be Proactive). As a result, they have a tendency to focus on the latest “important/urgent” breakdown.

You can’t manage effectively without data.

"Should I authorize overtime next week?” “Should I extend the overhaul frequency on the XYZ machine?” “Is my PM program working the way it should?” “Where am I using the most labor and material resources?” These are all typical questions that face Maintenance Managers every day. It is hard to manage these situation without quality data.

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