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Port Terminal Performance Evaluation and Modeling

Author

Listed:
  • Giscard Valonne Mouafo Nebot

    (School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China)

  • Haiyan Wang

    (School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
    National Engineering Research Center for Water Transport Safety, Intelligent Transport System (ITS), Wuhan 430063, China)

Abstract

Background : The efficiency and competitiveness of port supply chain entities are two critical concerns for maritime transport that must constantly be enhanced. This paper presents an approach called ECOGRAISIM for evaluating the performance of the seaport supply chain. The objective is to achieve an effective operational plan for multimodal terminals. Methods : The proposed approach incorporates the ECOGRAI (Graph with Interconnected Results and Activities) technique with ESSIMAS (Evaluation by Simulation of Innovative Solutions for the Development of Mass Transport on the Seine Axis by electric rail coupons). An additional stage was incorporated to accomplish the performance control. A particular focus was put on action variables and procedures for container and massified transfer management. The multimodal terminal at Le Havre seaport was adopted as the case study. Results : Several scenarios of container transfer were defined and investigated based upon specific features, including delays, minimizing expenses and CO 2 emissions. The results show that the operational planning method results in a higher service rate and significantly reduces delay, cost and CO 2 emissions. Conclusions : The proposed approach is bound to be beneficial for maritime transport planners and decision makers.

Suggested Citation

  • Giscard Valonne Mouafo Nebot & Haiyan Wang, 2022. "Port Terminal Performance Evaluation and Modeling," Logistics, MDPI, vol. 6(1), pages 1-22, January.
    • Handle: RePEc:gam:jlogis:v:6:y:2022:i:1:p:10-:d:728999
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    References listed on IDEAS

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    1. Christian Almeder & Margaretha Preusser & Richard F. Hartl, 2009. "Simulation and optimization of supply chains: alternative or complementary approaches?," Springer Books, in: Herbert Meyr & Hans-Otto Günther (ed.), Supply Chain Planning, pages 29-53, Springer.
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    3. Marco Better & Fred Glover & Gary Kochenberger & Haibo Wang, 2008. "Simulation Optimization: Applications In Risk Management," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 7(04), pages 571-587.
    4. Abderaouf Benghalia & Mustapha Oudani & Jaouad Boukachour & Dalila Boudebous & Ahmed El Hilali Alaoui, 2014. "Optimization-Simulation for Maritime Containers Transfer," International Journal of Applied Logistics (IJAL), IGI Global, vol. 5(2), pages 50-61, April.
    5. Bielli, Maurizio & Boulmakoul, Azedine & Rida, Mohamed, 2006. "Object oriented model for container terminal distributed simulation," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1731-1751, December.
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    Cited by:

    1. Huy Tung Pham & Luong Hai Nguyen, 2022. "Empirical Performance Measurement of Cargo Handling Equipment in Vietnam Container Terminals," Logistics, MDPI, vol. 6(3), pages 1-18, July.

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