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Improving Port Container Terminal Efficiency with the use of Markov Theory

Author

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  • Evangelos Mennis

    (Department of Shipping Trade and Transport, University of the Aegean, 2A Korai Str., Chios 82100, Greece)

  • Agapios Platis

    (Department of Financial and Management Engineering, University of the Aegean, 31 Fostini Str., Chios 82100, Greece)

  • Ioannis Lagoudis

    (Department of Shipping Trade and Transport, University of the Aegean, 2A Korai Str., Chios 82100, Greece)

  • Nikitas Nikitakos

    (Department of Shipping Trade and Transport, University of the Aegean, 2A Korai Str., Chios 82100, Greece)

Abstract

The significance of using efficient ports in modern supply chains cannot be overstated. Gantry cranes are key elements of superstructure in port container terminals, as they are placed in the ship–berth interface. In this paper, Markov theory and reliability models are used for the estimation of the associated risks and costs that can result in delays due to machinery breakdowns in container terminals. The aim of this study is to estimate the risk of delays and the economic consequences for not only the container terminals, but for their users as well. Results show that Markov theory assists not only in the estimation of economic consequences of gantry crane breakdowns, but enables management to focus on problematic areas in terminal operations and to take the necessary decisions for their solution. Maritime Economics & Logistics (2008) 10, 243–257. doi:10.1057/mel.2008.3

Suggested Citation

  • Evangelos Mennis & Agapios Platis & Ioannis Lagoudis & Nikitas Nikitakos, 2008. "Improving Port Container Terminal Efficiency with the use of Markov Theory," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(3), pages 243-257, September.
    • Handle: RePEc:pal:marecl:v:10:y:2008:i:3:p:243-257
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    Citations

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    Cited by:

    1. Vibhuti Dhingra & Debjit Roy & René B. M. Koster, 2017. "A cooperative quay crane-based stochastic model to estimate vessel handling time," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 97-124, March.
    2. Zhuyuan Li & Xiaolong Wang & Run Zheng & Sanggyun Na & Chang Liu, 2022. "Evaluation Analysis of the Operational Efficiency and Total Factor Productivity of Container Terminals in China," Sustainability, MDPI, vol. 14(20), pages 1-12, October.
    3. John J. Bartholdi & Alvaro Lasso & H. Donald Ratliff & Yuritza Oliver, 2019. "Using GPS to measure truck service times in a container terminal," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(1), pages 146-155, March.
    4. Martínez-Pardo, Ana & Orro, Alfonso & Garcia-Alonso, Lorena, 2020. "Analysis of port choice: A methodological proposal adjusted with public data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 178-193.
    5. Roy, D. & de Koster, M.B.M., 2014. "Modeling and Design of Container Terminal Operations," ERIM Report Series Research in Management ERS-2014-008-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Mehdi Mazloumi & Edwin van Hassel, 2021. "Improvement of Container Terminal Productivity with Knowledge about Future Transport Modes: A Theoretical Agent-Based Modelling Approach," Sustainability, MDPI, vol. 13(17), pages 1-17, August.
    7. Debjit Roy & René De Koster & René Bekker, 2020. "Modeling and Design of Container Terminal Operations," Operations Research, INFORMS, vol. 68(3), pages 686-715, May.
    8. Branislav Dragovic & Nenad Dj. Zrnic, 2011. "A Queuing Model Study of Port Performance Evolution," Analele Universitatii "Eftimie Murgu" Resita Fascicola de Inginerie, "Eftimie Murgu" University of Resita, vol. 2(XVIII), pages 65-76, December.
    9. Felipe Lobo Umbelino Souza & Cira Souza Pitombo & Dong Yang, 2021. "Port choice in Brazil: a qualitative research related to in-depth interviews," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-22, December.

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