With　the　development　of　the　times　and　the　change　of　people＇s　lifestyles,　people　are　opting　to　order　food　online.　For　the　perishable　food,　the　delivery　time　and　quality　requirements　are　getting　stricter.　However,　in　practice,　the　production　of　perishable　food　mostly　relies　on　experience　decision-making,　and　the　distribution　mainly　relies　on　takeaway　riders,　which　affects　the　efficiency　of　the　system.　This　paper　aims　to　optimize　the　integrated　scheduling　of　perishable　food　production　and　distribution　with　unmanned　aerial　vehicles　(UAVs).　A　mixed-integer　linear　program　(MILP)　is　proposed　to　formulate　the　problem.　We　resort　to　CPLEX　solver　with　branch-and-cut　algorithm　to　solve　the　problem.　Experiments　on　randomly　generated　instances　up　to　50　customers　demonstrate　the　correctness　and　effectiveness　of　the　proposed　model.　©　2023　IEEE.