From notification to feedback

Many maintenance teams today have more data than ever before. And yet decisions are often still made as if this data did not exist.

The sticking point is rarely the major malfunction. Monday is spent planning, Tuesday is spent reprioritizing, and in the end, the system says “done” without it being clear whether the right work was actually done at the right time.

Often it is not the technology that fails, but the logic: who decides what, on what basis, and how does this basis end up back in the system later? IBM Maximo becomes interesting when you close these transfers and the context is not reinvented every time.

Manage, Mobile and Schedule form the basis for this. They connect notifications, orders, resource planning, and feedback in such a way that planning and execution do not have to be renegotiated every time.

Health, Predict and Monitor build on this. When conditions, thresholds, and patterns come together cleanly, data becomes a risk picture that can be prioritized. Then it’s less about more alarms and more about when intervention really makes sense.

What many people underestimate is how AI functions now run as a matter of course in many of these building blocks. They help with classification, suggestions, and the detection of deviations. Maximo Assist and Visual Inspection provide additional help when knowledge is lacking or visual inspection becomes a bottleneck and findings need to be fed back into the process more quickly.

Where do you most often lose the connection: in prioritization, execution, or feedback?

For more details about IBM Maximo, visit our webseite: IBM Maximo – SPIE RODIAS