Planning optimizator

Purpose

Planning optimizator helps optimize large-scale outage maintenance schedules by using symbolic AI and GenAI to account for task dependencies, safety constraints, and resource availability.

Primary users

The primary users are external, client-facing users who need support in preparing optimized maintenance and outage planning schedules.

Where it fits (process/stage/trigger)

Planning optimizator fits into the maintenance and outage planning process, especially when client operational and maintenance data must be transformed into optimized schedules for large-scale outage activities.

Key capabilities / workflow

The agent analyzes client operational and maintenance data, considers task dependencies, safety constraints, and resource availability, then uses symbolic AI and GenAI to generate optimized maintenance and outage planning schedules.

Inputs

Typical inputs are client operational and maintenance data, including the information needed to represent maintenance activities, task dependencies, safety constraints, and resource availability when provided.

Outputs / Deliverables

The agent delivers optimized maintenance and outage planning schedules based on the provided client operational and maintenance data.

Value

Planning optimizator supports improved maintenance and outage planning by helping clients structure complex scheduling decisions around dependencies, constraints, and available resources.