Bus　system　in　the　actual　operation　often　suffers　vehicle　breakdowns,　traffic　jams　and　excessive　passenger　demands,　which　causes　disruptions,　i.e.,　delays　or　extra　trips.　When　making　a　bus　scheduling　plan,　considering　the　possible　disruptions　in　advance　can　enhance　the　robustness　of　bus　scheduling　plan　and　reduce　the　cost　of　rescheduling.　In　view　of　the　vehicle　scheduling　problem,　we　proposed　two　recovery　methods　including　reassigning　some　trips　and　adjusting　the　start　times　of　trips　to　handle　these　disruptions.　Furthermore,　we　propose　a　vehicle　scheduling　model　with　disruptions　for　a　robust　scheduling　plan,　and　design　a　row-and-column　generation　based　heuristic　algorithm　for　solving.　During　the　solving　process,　we　decompose　the　problem　into　the　master　problem　and　three　sub-problems.　The　three　sub-problems　are　solved　by　Bellman-Ford　algorithm　for　the　original　routes,　labeling　method　for　the　modified　routes,　and　tabu　search　algorithm　for　the　efficiency　improvement,　respectively.　Finally,　a　series　of　comparative　experiments　show　that　the　model　proposed　in　this　paper　can　provide　a　more　robust　bus　scheduling　plan　and　reduce　the　expected　number　of　trip　adjustments　in　disruptions,　which　reduce　the　workload　of　scheduling　managers.　©　2023　Systems　Engineering　Society　of　China.　All　rights　reserved.