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A simulation model proposal to improve the productivity of container terminal operations through investment alternatives

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  • Mucahit Sislioglu
  • Metin Celik
  • Suleyman Ozkaynak

Abstract

Development of a container terminal (CT) closely deals with the efficiency of operating systems. This paper proposed a model to decide optimum investment alternatives to improve CT productivity. The proposed approach incorporates the parameters such as number of quay cranes, total length of a quay, yard trucks and yard cranes. The objectives of the model are minimizing the average ship turnaround time while maximizing the container throughput generated by the terminal. The methodology behind the model includes Discrete Event Simulation Model, data envelopment analysis (DEA) and cost-efficiency analysis. Considering container ship visits to Container Terminal Alpha (CT-A), the proposed model is demonstrated with 16 different investment scenario along with 10-months recorded operational data. The results addressed the Scenario LENG-2 (extent current total length of quays from 1.560 meters to 2.000 meters) as the optimal feasible solution for an investment in existing conditions. The model is also considered to besides contributions to investment decisions in CT, the developed framework might be extended to other transportation infrastructures.

Suggested Citation

  • Mucahit Sislioglu & Metin Celik & Suleyman Ozkaynak, 2019. "A simulation model proposal to improve the productivity of container terminal operations through investment alternatives," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(2), pages 156-177, February.
    • Handle: RePEc:taf:marpmg:v:46:y:2019:i:2:p:156-177
    DOI: 10.1080/03088839.2018.1481544
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    Cited by:

    1. Buddhi A. Weerasinghe & H. Niles Perera & Xiwen Bai, 2024. "Optimizing container terminal operations: a systematic review of operations research applications," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(2), pages 307-341, June.

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