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Equipment selection and layout planning - Literature overview and research directions

In: Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 30

Author

Listed:
  • Kastner, Marvin
  • Kämmerling, Nicolas
  • Jahn, Carlos
  • Clausen, Uwe

Abstract

Purpose: When container terminals are planned or converted, among others the most suitable container handling system needs to be selected and the appropriate terminal layout needs to be designed. These two planning activities are mutually dependent and affect the costs and future operational performance. This leads to the question of how to arrive at a (near-)optimal solution for given criteria. Methodology: A mapping review is conducted to investigate how the container handling system is selected and how the terminal layout is designed. Literature is examined regarding the employed methodology, the performance indicator(s) to optimize, and the way terminal layout and equipment selection have been jointly considered. Findings: Various methods have been used to assess a suitable container handling system and the appropriate layout. Commonly, mathematical optimization is used to arrive at a suggestion and simulation is the tool to evaluate proposed decisions. Aspects such as handling costs, travel distances, or ecological factors are sought to be optimized. Originality: Several literature reviews in the past years investigated approaches to the plethora of scheduling problems at container terminals. Here, the two strategic planning activities equipment selection and layout planning are presented in detail. This publication focuses on how the dependency of the two activities has been han-dled in literature.

Suggested Citation

  • Kastner, Marvin & Kämmerling, Nicolas & Jahn, Carlos & Clausen, Uwe, 2020. "Equipment selection and layout planning - Literature overview and research directions," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 485-519, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:228960
    DOI: 10.15480/882.3147
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    References listed on IDEAS

    as
    1. Panagiotis Angeloudis & Michael G. H. Bell, 2011. "A review of container terminal simulation models," Maritime Policy & Management, Taylor & Francis Journals, vol. 38(5), pages 523-540, February.
    2. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Storage yard operations in container terminals: Literature overview, trends, and research directions," European Journal of Operational Research, Elsevier, vol. 235(2), pages 412-430.
    3. Bierwirth, Christian & Meisel, Frank, 2010. "A survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 202(3), pages 615-627, May.
    4. Amir Hossein Gharehgozli & Debjit Roy & René de Koster, 2016. "Sea container terminals: New technologies and OR models," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(2), pages 103-140, June.
    5. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Transport operations in container terminals: Literature overview, trends, research directions and classification scheme," European Journal of Operational Research, Elsevier, vol. 236(1), pages 1-13.
    6. Ping Wang & Joan P. Mileski & Qingcheng Zeng, 2019. "Alignments between strategic content and process structure: the case of container terminal service process automation," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(4), pages 543-558, December.
    7. Branislav Dragović & Ernestos Tzannatos & Nam Kuy Park, 2017. "Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 4-34, March.
    8. Uwe Clausen & Jan Kaffka, 2016. "Development of priority rules for handlings in inland port container terminals with simulation," Journal of Simulation, Taylor & Francis Journals, vol. 10(2), pages 95-102, May.
    9. Bierwirth, Christian & Meisel, Frank, 2015. "A follow-up survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 244(3), pages 675-689.
    10. Vis, Iris F.A., 2006. "A comparative analysis of storage and retrieval equipment at a container terminal," International Journal of Production Economics, Elsevier, vol. 103(2), pages 680-693, October.
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