Computationally efficient algorithms were developed for identifying the effect of delay in terms of affected operations.
Sets of affected operations and accompanying delay values are propagated via a disjunctive graph model of train operations.
The results of the proposed sensitivity analysis can be used to explicitly define the robustness of a schedule.
The analysis provides information that can be used as part of a pro‐active scheduling approach (as opposed to reactive).
The affected operations information can be used to improve meta‐heuristic approaches for schedule refinement.
