Abstract
We propose a revenue management (RM) model for the network capacity allocation problem of an intermodal barge transportation system. Accept/reject decisions are made based on a probabilistic mixed integer optimization model maximizing the expected revenue of the carrier over a given time horizon. Probability distribution functions are used to characterize future potential demands. The simulated booking system solves, using a commercial software, the capacity allocation problem for each new transportation request. A conventional model for dynamic capacity allocation considering only the available network capacity and the delivery time constraints is used as alternative when analyzing the results of the proposed model.
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Acknowledgments
We gratefully acknowledge the financial support provided for this project by the i-Trans Association and its innovation platform i-Fret, by the Nord-Pas de Calais Region, France, by the Natural Sciences and Engineering Research Council of Canada through its Discovery grants program, and by Fonds de recherche du Québec through their infrastructure grants.
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Wang, Y., Bilegan, I.C., Crainic, T.G., Artiba, A. (2016). A Revenue Management Approach for Network Capacity Allocation of an Intermodal Barge Transportation System. In: Paias, A., Ruthmair, M., Voß, S. (eds) Computational Logistics. ICCL 2016. Lecture Notes in Computer Science(), vol 9855. Springer, Cham. https://doi.org/10.1007/978-3-319-44896-1_16
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DOI: https://doi.org/10.1007/978-3-319-44896-1_16
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