The Vaccine Run — Cold-Chain & Coverage at SuryaHealth

A four-round, advanced healthcare-operations simulation set inside SuryaHealth Logistics Pvt. Ltd., a Pune-based not-for-profit running the cold-chain and last-mile distribution arm of a state immunisation programme across 11 districts of western Maharashtra (38 cold-chain points, 22 vehicles, ₹46 crore budget). Two weeks before a 6-week measles-rubella catch-up campaign for 210,000 children, the central allocation lands 18% short and a do-nothing plan projects only 82% coverage against a funder target of ≥90%, with a structural 19-point hill-vs-urban coverage gap. Playing the operations team under a fixed ₹3.8 crore logistics envelope and a 3,400 vial-equivalent cold-chain capacity, you (1) diagnose the network — finding the demand-heavy urban 'pullers', the coverage-starved hill blocks, and the open-vial wastage that makes effective supply far smaller than nominal supply; (2) set inventory and safety stock under an equity-weighted service level, choosing how much buffer to hold centrally versus push to the edge; (3) choose the distribution route — hub-and-spoke milk-runs, dedicated remote runs, or a mixed motorcycle-cold-box leg — within the cold-chain breach limit and the budget; and (4) write an explicit triage rule for the last dose and stress-test it against a mid-campaign shock, presenting a final coverage / equity / cost-per-dose-delivered scorecard. The newsvendor-under-perishability math (Sarang Deo / Max Institute healthcare-operations analytics) rewards equity-weighted allocation, wastage-aware sizing, edge buffer for un-resuppliable hill blocks, cold-chain-respecting routing, and a written equity triage rule — and measurably punishes the five classic errors: throughput tunnel vision, ignoring wastage, over-centralising buffer, cost-only routing that breaches the cold chain, and defaulting to first-come-first-served. Final KPIs track Coverage %, Hill-vs-Urban Equity Gap, Effective Supply, and Cost per Dose Delivered against the ₹3.8 crore cap.