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Optimizing empty container logistics based on a collaborative network approach

Author

Listed:
  • Nina Vojdani

    (Department of Mechanical Engineering and Marine Technology, University of Rostock, Richard-Wagner-Str. 31, 18119 Rostock, Germany.)

  • Felix Lootz

    (Department of Mechanical Engineering and Marine Technology, University of Rostock, Richard-Wagner-Str. 31, 18119 Rostock, Germany.)

  • René Rösner

    (Department of Mechanical Engineering and Marine Technology, University of Rostock, Richard-Wagner-Str. 31, 18119 Rostock, Germany.)

Abstract

Current global production patterns have led to the emergence of systemic, chronic and structural trade imbalances between major trading regions. Increasing transportation led to a growth in the amount of full containers and subsequently to preceding and ensuing empty container movements. Empty container management is substantial to overcome the complex problem of empty container repositioning, storage and ownership conditions. Because of growing cost pressures and the continuous search for efficiency improvements, collaborative design approaches in the empty container management are becoming increasingly important. One approach is the joint use of containers by several container carriers and container leasing companies. Therefore, the aim of this article is to introduce a mathematical optimization approach, which optimizes container logistics networks and quantifies potential savings considering the establishment and operation of container pooling. It will be shown that positive economic effects can be generated by the implementation of container pooling, compared with non-cooperative behavior of container owners and leasing companies. In addition, port operators will be able to handle rising container volumes without major capacity adjustments. Further studies need to focus on practical implications of container pooling models and empirical evidence of the mathematical approach.

Suggested Citation

  • Nina Vojdani & Felix Lootz & René Rösner, 2013. "Optimizing empty container logistics based on a collaborative network approach," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(4), pages 467-493, December.
  • Handle: RePEc:pal:marecl:v:15:y:2013:i:4:p:467-493
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    Citations

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    Cited by:

    1. Sarmadi, Kamran & Amiri-Aref, Mehdi & Dong, Jing-Xin & Hicks, Christian, 2020. "Integrated strategic and operational planning of dry port container networks in a stochastic environment," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 132-164.
    2. Alejandra Gómez-Padilla & Rosa G. González-Ramírez & Fernando Alarcón & Stefan Voß, 2021. "An option contract model for leasing containers in the shipping industry," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 328-347, June.
    3. Mark Ching-Pong Poo & Tsz Leung Yip, 2019. "An optimization model for container inventory management," Annals of Operations Research, Springer, vol. 273(1), pages 433-453, February.
    4. Behzad Behdani & Bart Wiegmans & Violeta Roso & Hercules Haralambides, 2020. "Port-hinterland transport and logistics: emerging trends and frontier research," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(1), pages 1-25, March.
    5. Alaa Abdelshafie & May Salah & Tomaž Kramberger & Dejan Dragan, 2022. "Repositioning and Optimal Re-Allocation of Empty Containers: A Review of Methods, Models, and Applications," Sustainability, MDPI, vol. 14(11), pages 1-23, May.
    6. 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.

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