Interloc Solutions Blog

Setting Health, Criticality, and Risk Scores in MAS Health

Introduction: Cognos Analytics on CP4D with Maximo Application Suite is a wondrous fusion of technological brilliance and business analytics excellence. Powered by latest and greatest Watson AI, Cognos allows users to effortlessly analyze complex data sets and unlock actionable insights hidden within their data.

With Maximo Application Suite, IBM is providing Maximo users the power of connected devices and AI, completely integrated within the platform of Maximo application suite. In this blog, I intend to provide you with a comprehensive process and data flow for implementing predictive maintenance models in Maximo Predict. AI/ML models will predict asset failures based upon current condition of the assets, helping customers to move from a “Preventive” to “Predictive” Maintenance Strategy.

Maximo Application Framework Configuration Application (MAF Config App), a UI Configuration Tool, was introduced by IBM to configure Maximo Mobile applications. Support for Health & Predict was introduced with Maximo Application Suite and IBM is continuously adding more features with their latest MAS releases. Maximo Mobile, Health & Predict applications are built with IBM's Graphite Framework and Carbon Design component.

So, you’ve just finished implementing a series of integrations so Maximo can play its part in a set of enterprise-wide business processes. Work orders, assets, POs, GL accounts, labor and inventory transactions, and so forth are flowing back and forth with few, if any, errors when the following conversation occurs….

As an IBM Maximo™ administrator and developer, I’m often interested in seeing how well Maximo is running. In olden times (say, before 2020) I could simply log into WebSphere or pull up Task Manager (top in Linux) to see basic information on JVMs, memory and CPU usage and view JVM and Maximo logs.