The　paper　explores　the　flight　recovery　problem　of　flight　delay　and　violation　of　airport　curfew　due　to　the　decline　of　airport　capacity　under　the　collaborative　decision　making.　A　multi-objective　collaborative　slot　secondary　allocation　model　is　proposed　to　minimise　the　total　delay　cost　of　airlines　and　the　total　delay　time　of　passengers.　Three　multi-objective　decision-making　(MODM)　techniques　are　introduced,　and　the　displaced　ideal　solution　(DIS)　method　is　used　to　select　the　optimal　solution　technique.　The　results　show　that　the　weighting　method　(WM)　can　generate　high-quality　solutions　in　the　test　data　set.　Finally,　combined　with　the　delayed　flight　data　of　an　airport,　LINGO　software　is　used　to　solve　the　model,　the　sensitivity　and　the　complexity　is　analysed.　The　results　show　that　the　collaborative　scheduling　strategy　proposed　in　this　paper　can　provide　airlines　with　scientific　and　reasonable　slot　secondary　allocation　scheme　under　the　condition　of　limited　airport　capacity.　Copyright　©　2024　Inderscience　Enterprises　Ltd.