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Optimal Dynamic Assignment of Internal Vehicle Fleet at a Maritime Rail Terminal with Uncertain Processing Times

In: Operations Research Proceedings 2016

Author

Listed:
  • Ying Xie

    (Anglia Ruskin University)

  • Dong-Ping Song

    (University of Liverpool)

Abstract

This study aims to improve the efficiency of container loading process at a seaport by optimizing the dynamic assignment of internal vehicle fleet in the process of moving containers from storage yards at maritime terminals to the train at the rail terminal. We formulate the problem into a stochastic dynamic programming model taking into account uncertain processing times. Numerical experiments based on a case study are performed to illustrate the effectiveness and the sensitivity of the model.

Suggested Citation

  • Ying Xie & Dong-Ping Song, 2018. "Optimal Dynamic Assignment of Internal Vehicle Fleet at a Maritime Rail Terminal with Uncertain Processing Times," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 343-349, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-55702-1_46
    DOI: 10.1007/978-3-319-55702-1_46
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