Emergency　supplies　scheduling　needs　to　consider　the　state　of　the　demanders,　and　reasonably　scheduling　and　resource　allocation　are　the　heart　of　efficient　rescue.　Taking　rescue　time,　scheduling　cost　and　demanders’　satisfaction　as　goals,　in　this　paper,　an　emergency　supplies　scheduling　model　based　on　multi-objective　optimization　was　proposed　to　provide　a　wealth　of　decision-making　information.　Then　four　multi-objective　optimization　algorithms　are　employed　to　obtain　the　optimal　set　of　scheduling　models.　In　addition,　we　design　the　minimum　time　cost　model　and　the　shortest　route　cost　model　by　considering　the　change　of　the　road　network　status.　The　extensive　simulation　experiments　are　conducted　on　a　real　urban　traffic　dataset.　The　experimental　results　show　that　the　two　cost　models　can　serve　different　scheduling　needs　and　provide　efficient　scheduling　for　emergency　supplies.　©　2021　The　Authors