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A multi-scenario model for empty container repositioning with uncertain demand

Author

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  • Massimo Di Francesco
  • Michela Lai
  • Paola Zuddas

Abstract

This paper investigates the maritime repositioning of empty containers when their demand is uncertain. It involves moving empty containers from import-dominant ports to export-dominant ports in anticipation of future demands. In order to consider demand uncertainty, the problem is addressed by a stochastic programming approach, in which different scenarios are included in a multi-scenario optimisation model and explicitly linked by non-anticipativity conditions. Numerical experiments are carried out to show which benefits are obtained by multi-scenario solutions with respect to their deterministic counterparts, which consider only one point forecast for each uncertain parameter.

Suggested Citation

  • Massimo Di Francesco & Michela Lai & Paola Zuddas, 2014. "A multi-scenario model for empty container repositioning with uncertain demand," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 19(2), pages 212-228.
    • Handle: RePEc:ids:ijsoma:v:19:y:2014:i:2:p:212-228
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    Citations

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    Cited by:

    1. Mulder, J. & Dekker, R., 2016. "Optimization in container liner shipping," Econometric Institute Research Papers EI2016-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Ksciuk, Jana & Kuhlemann, Stefan & Tierney, Kevin & Koberstein, Achim, 2023. "Uncertainty in maritime ship routing and scheduling: A Literature review," European Journal of Operational Research, Elsevier, vol. 308(2), pages 499-524.

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