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Empirical Performance Measurement of Cargo Handling Equipment in Vietnam Container Terminals

Author

Listed:
  • Huy Tung Pham

    (Department of Personnel & Administration, Vietnam Maritime University, Haiphong 180000, Vietnam)

  • Luong Hai Nguyen

    (Department of Construction Economics, University of Transport and Communications, Hanoi 100000, Vietnam)

Abstract

Background : Cargo-handling equipment (CHE) plays a vital role in maintaining the efficiency of a highly-worked container terminal. Methods : This study is aimed to analyze the CHEs’ performance, which is conducted based on a contextual application of the overall equipment-effectiveness (OEE) technique and data collected from a field survey in 14 container terminals in Vietnam. Results : The findings reveal that the CHEs are operated incompatibly with their actual capacity due to low performance. Also, the findings clarified the unproductive exploitation of container terminals and low actual terminal throughput since the capacity-designed terminals are currently operating above their actual capacity. Conclusions : The application of the OEE index for groups of CHE equipment is an origin for the impact assessment of the overall performance between the groups of CHEs’ equipment, thereby proposing management tools for supporting the improvement of the CHEs and container terminals’ performance in Vietnam.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jlogis:v:6:y:2022:i:3:p:44-:d:855361
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    References listed on IDEAS

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    1. Jorge H. Luna & Julio Mar-Ortiz & María D. Gracia & Dionicio Morales-Ramírez, 2018. "An efficiency analysis of cargo-handling operations at container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 190-210, June.
    2. 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.
    3. Suárez-Alemán, Ancor & Morales Sarriera, Javier & Serebrisky, Tomás & Trujillo, Lourdes, 2016. "When it comes to container port efficiency, are all developing regions equal?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 56-77.
    4. Giscard Valonne Mouafo Nebot & Haiyan Wang, 2022. "Port Terminal Performance Evaluation and Modeling," Logistics, MDPI, vol. 6(1), pages 1-22, January.
    5. Jungwaun Jeh & Jungwoo Nam & Minseop Sim & Yulseong Kim & Youngran Shin, 2022. "A Study on the Efficiency Analysis of Global Terminal Operators Based on the Operation Characteristics," Sustainability, MDPI, vol. 14(1), pages 1-19, January.
    6. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    7. Figueiredo De Oliveira, Gabriel & Cariou, Pierre, 2015. "The impact of competition on container port (in)efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 124-133.
    8. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    9. Shui-Mu Ju & Nan Liu, 2015. "Efficiency and its influencing factors in port enterprises: empirical evidence from Chinese port-listed companies," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(6), pages 571-590, August.
    10. Victoria Wojcik & Harald Dyckhoff & Marcel Clermont, 2019. "Is data envelopment analysis a suitable tool for performance measurement and benchmarking in non-production contexts?," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 559-595, December.
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