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A Revenue Management Approach for Network Capacity Allocation of an Intermodal Barge Transportation System

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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https://hal-uphf.archives-ouvertes.fr/hal-03379053
Contributor : Kathleen Torck Connect in order to contact the contributor
Submitted on : Thursday, October 14, 2021 - 6:42:00 PM
Last modification on : Wednesday, November 3, 2021 - 9:11:53 AM

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Yunfei Wang, Ioana-Codruta Bilegan, Teodor Gabriel Crainic, Abdelhakim Artiba. A Revenue Management Approach for Network Capacity Allocation of an Intermodal Barge Transportation System. Computational Logistics, 9855, Springer International Publishing, pp.243-257, 2016, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-44896-1_16⟩. ⟨hal-03379053⟩

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