Addressing water level uncertainty for inland waterway transportation: a partially joint chance-constrained programming approach
Résumé
In this study, we focus on the tactical planning problem for consolidation-based intermodal freight transportation carriers, focusing on inland waterway networks. We introduce novel considerations on this decision-making type of problem and, more broadly, on addressing uncertainty arising from water level variations within mathematical programming models. To address this issue, we introduce a tolerance-based partially joint chance-constrained paradigm, targeting the uncertainty in water levels along the river or canal.
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