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The effect of multi-scenario policies on empty container repositioning

Author

Listed:
  • Di Francesco, Massimo
  • Crainic, Teodor Gabriel
  • Zuddas, Paola

Abstract

This paper addresses a container maritime-repositioning problem where several parameters are uncertain and historical data are useless for decision-making processes. To address this problem, we propose a time-extended multi-scenario optimization model in which scenarios can be generated taking into account shipping company opinions. We then show that multi-scenario policies put shipping companies in the position of satisfying empty-container demands for different values that may be taken by uncertain parameters.

Suggested Citation

  • Di Francesco, Massimo & Crainic, Teodor Gabriel & Zuddas, Paola, 2009. "The effect of multi-scenario policies on empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(5), pages 758-770, September.
    • Handle: RePEc:eee:transe:v:45:y:2009:i:5:p:758-770
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    Citations

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    Cited by:

    1. Lee, Chung-Yee & Song, Dong-Ping, 2017. "Ocean container transport in global supply chains: Overview and research opportunities," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 442-474.
    2. Mittal, Neha & Boile, Maria & Baveja, Alok & Theofanis, Sotiris, 2013. "Determining optimal inland-empty-container depot locations under stochastic demand," Research in Transportation Economics, Elsevier, vol. 42(1), pages 50-60.
    3. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship fleet deployment with container transshipment operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 470-484.
    4. Long, Yin & Lee, Loo Hay & Chew, Ek Peng, 2012. "The sample average approximation method for empty container repositioning with uncertainties," European Journal of Operational Research, Elsevier, vol. 222(1), pages 65-75.
    5. Zheng, Jianfeng & Sun, Zhuo & Gao, Ziyou, 2015. "Empty container exchange among liner carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 158-169.
    6. Wong, Eugene Y.C. & Tai, Allen H. & Raman, Mardjuki, 2015. "A maritime container repositioning yield-based optimization model with uncertain upsurge demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 147-161.
    7. Zheng, Jianfeng & Sun, Zhuo & Zhang, Fangjun, 2016. "Measuring the perceived container leasing prices in liner shipping network design with empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 123-140.
    8. Gaivoronski, Alexei & Sechi, Giovanni M. & Zuddas, Paola, 2012. "Cost/risk balanced management of scarce resources using stochastic programming," European Journal of Operational Research, Elsevier, vol. 216(1), pages 214-224.

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