A robust rolling horizon framework for empty repositioning

Naturally imbalanced freight flows force transportation service providers to reposition empty resources. When constructing repositioning plans, the cost of resources needs be weighed against corrective actions in case unavailable This is especially challenging given uncertainty future demand. We design and implement a robust rolling horizon framework for effective plans. An extensive computational study demonstrates benefits explicitly accounting demand by using optimization, pragmatically controlling level conservatism hedging this uncertainty. also investigate practical strategies reducing complexity managing networks covering huge geographic areas. • adaptable model effectively addresses repositioning. Recoverability can guaranteed adding constraints nominal formulation. Proposed novel controls ensures tractability Pragmatically defined recovery network perform well. Regional decomposition are