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

  • Yunfei Wang
  • Ioana C. BileganEmail author
  • Teodor Gabriel Crainic
  • Abdelhakim Artiba
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9855)

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.

Keywords

Revenue management Network capacity allocation Intermodal barge transportation Probabilistic mixed integer model 

Notes

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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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Yunfei Wang
    • 1
  • Ioana C. Bilegan
    • 1
    Email author
  • Teodor Gabriel Crainic
    • 2
  • Abdelhakim Artiba
    • 1
  1. 1.LAMIH UMR CNRS 8201, Université de Valenciennes et du Hainaut-CambrésisValenciennesFrance
  2. 2.CIRRELT and School of ManagementU. du Québec à MontréalMontréalCanada

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