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Global Supply Chain Resilience Twin

Operate a multi-tier European network from tier-2 suppliers through subcontractors, a factory, two distribution centres and three customer markets. Trigger border closures, plant shutdowns and demand surges - then prove whether visibility, buffers or dual sourcing protects service and cash.

How to use it

  1. Choose a crisis. Start with baseline, then close borders or the plant.
  2. Choose a policy. Reactive control is cheap; resilience requires a deliberate hedge.
  3. Run the twin. Watch material batches, factory status, backlog and cash move together.
  4. Compare evidence. Use the same seed to separate policy effects from random demand.
Service level
100%
Cash position
$5.0M
Backorders
0
FG inventory
10.0k
RM cover
18d
Recovery
-
Live global network twinReady · compound crisis · reactive
READY · DAY 0
Live event stream
Network initialized
In transit0
Routes blocked0
FactoryOPEN
Daily output0
Day 0Day 180

Live performance traces

Policy evidence · same crisis, same seed

PolicyServiceMin cashPeak BORecovery
Run the compound crisis, then explain why the lowest-inventory policy may not be the cheapest policy.

The operations question

Resilience is a network property. A factory can have capacity and still stop when one critical component is trapped upstream; customer demand then converts operational delay into cash pressure.

The control logic

The control tower counts on-hand plus in-transit material, reallocates scarce FG by backlog severity and accelerates alternate lanes when a border is blocked.

Class challenge

  1. Keep service above 95%.
  2. Avoid negative cash.
  3. Explain the cost of each hedge.
Independent browser-native educational reconstruction inspired by the public AnyLogic “Global Supply Chain” model. It does not embed or reproduce the AnyLogic runtime or source code.

About this tool

The concept

A multi-tier European network is a system, not a map: material moves through tier-2 suppliers, subcontractors, a factory and two DCs before it reaches a market, and every hop is a place a shock can land.

How it works

Discrete batches flow along real lanes on a seeded clock, so the same seed replays the same demand. Crises close borders, stop the plant or surge demand; policies change how each node reorders.

Winning strategy

Compare policies on the same seed - otherwise you are measuring luck, not resilience. Buffers and dual sourcing cost money every day and pay out only on the bad days: that trade is the lesson.