Making a vaccine was the science story of the pandemic. Getting it into five million arms - twice, in the right order, before it spoiled - was a supply chain story. This live simulation is built from published RMIT research that planned exactly that for Greater Melbourne. Pick a supply scenario and watch the campaign run.
The coloured map ranks every neighbourhood by health risk - age, illness, exposure. Scarce doses go to red areas first.
Optimised vehicle routes move refrigerated doses from the depot. A late or warm dose is a wasted dose.
Every first dose creates a promise: a second dose, reserved and delivered weeks later. The plan must keep both.
Run Scenario III: supply collapses mid-campaign. Watch the plan re-optimise and coverage recover.
The world made billions of doses; logistics decided how fast they became protection. Cold chains, priority rules and routing were the difference.
Floods, bushfires, famine response - deciding who gets scarce help first, and how it physically arrives, is the same decision science you just ran.
This demo is built from a peer-reviewed RMIT study in Transportation Research Part E (2022) that planned two-dose COVID-19 vaccination for Greater Melbourne.
An audience-friendly live run of a published vaccine-distribution decision support system: prioritise people, allocate scarce doses, deliver them cold and on time.
A day-by-day campaign model administers reserved second doses first, then first doses, capped by daily supply and clinic capacity. Scenario III cuts supply mid-campaign to test resilience.
Prioritise by risk, protect the second-dose promise, and re-optimise fast after disruption - coverage recovers when the plan adapts.
