Business Problem

A mature asset relies on helicopter transport for the daily movement of staff to offshore locations.

Next year's integrated activity plan is showing an increased business demand for people transport.

The logistics department is doubtful whether the available fleet capacity is sufficient to acceptably meet demand.

At the same time, management is questioning whether the existing manual planning process leads to an optimal use of the capacity.

The result is a status quo and a possible risk to the business plan.

Goal

Use our Game AI approach to optimally plan the available helicopter capacity on a daily basis, and to test the robustness of the plan against key assumptions.

The resulting insight can be used to develop a possible business case for investments in the fleet, or adjust the integrated activity plan to be more aligned with available logistics capacity.

Game AI

We translated the asset's logistics 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 logistics strategies much more efficiently than before, and translate stakeholder views or different assumptions immediately into alternative plans to improve decision making.

Assumptions

Use the settings below to drive logistics planning. Evaluate how different levers lead to different use of the helicopter fleet, and different business outcomes.

Use this insight to make decisions, such as optimizing the fleet capacity, prioritizing demand and adjusting helicopter maintenance routines.