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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. Kuzmicz, Katarzyna Anna & Pesch, Erwin, 2019. "Approaches to empty container repositioning problems in the context of Eurasian intermodal transportation," Omega, Elsevier, vol. 85(C), pages 194-213.
    2. Jeong, Yoonjea & Saha, Subrata & Moon, Ilkyeong, 2020. "Optimal devanning time and detention charges for container supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    3. 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.
    4. 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.
    5. 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.
    6. Dessouky, Maged & Carvajal, Santiago & Yao, Siyuan, 2020. "Congestion Reduction Through Efficient Empty Container Movement Under Stochastic Demand," Institute of Transportation Studies, Working Paper Series qt34c676k1, Institute of Transportation Studies, UC Davis.
    7. Mahmoudi, Monirehalsadat & Parviziomran, Irandokht, 2020. "Reusable packaging in supply chains: A review of environmental and economic impacts, logistics system designs, and operations management," International Journal of Production Economics, Elsevier, vol. 228(C).
    8. 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.
    9. 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.
    10. 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.
    11. Kolar, Petr & Schramm, Hans-Joachim & Prockl, Günter, 2018. "Intermodal transport and repositioning of empty containers in Central and Eastern Europe hinterland," Journal of Transport Geography, Elsevier, vol. 69(C), pages 73-82.
    12. Han, Guanghua & Pu, Xujin & He, Zhou & Liu, Cong, 2018. "Integrated planning and allocation: A stochastic dynamic programming approach in container transportation," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 264-274.
    13. 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.
    14. Xing, Xinjie & Drake, Paul R. & Song, Dongping & Zhou, Yang, 2019. "Tank Container Operators’ profit maximization through dynamic operations planning integrated with the quotation-booking process under multiple uncertainties," European Journal of Operational Research, Elsevier, vol. 274(3), pages 924-946.
    15. Yi Zhao & Qingwan Xue & Xi Zhang, 2018. "Stochastic Empty Container Repositioning Problem with CO 2 Emission Considerations for an Intermodal Transportation System," Sustainability, MDPI, Open Access Journal, vol. 10(11), pages 1-1, November.
    16. 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.

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