Business Problem

A mature offshore asset is facing a heavy work load of preventative and corrective maintenance scope.

The asset has multiple stakeholders with different opinions about prioritization, who are all competing for the same execution resources.

The asset's planning process is predominantly manual. The resulting maintenance plan is suboptimal and unstable with a year-on-year increase in backlog.

Goal

Use our Game AI approach to create better plans: incorporate different views, use resources more efficiently, and reduce the backlog.

Game AI

We translated the asset’s maintenance planning into a resource allocation game, and taught an AI agent to play this game.

Through self-play, the AI learns to master the game mechanics and to develop strategies that outperform human planning capability.

Using our AI as a planning assistant, we can now develop maintenance planning strategies much more efficiently than before, and translate stakeholder views immediately into alternative plans to improve decision making.

Opinions

Use the toggles below to reflect what opinions need to be taken into account. Use the dashboard to understand the impact of these opinions on key metrics of the plan.