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Efficient Container Logistics System Model

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  • Oraya Nopparit

    (Faculty of Business Administration and Accountancy,Khon Kaen University, No.123, M.16, Mittraphap Road, Nai Mueang, Amphoe Mueang, 40002, Khon Kaen City, Thailand Author-2-Name: Krittapha Saenchaiyathon Author-2-Workplace-Name: Faculty of Business Administration and Accountancy,Khon Kaen University, No.123, M.16, Mittraphap Road, Nai Mueang, Amphoe Mueang, 40002, Khon Kaen City, Thailand Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)

Abstract

" Objective - Although there has been much research on containers and yard operations at the port, it has remained a fascinating subject of study on the logistics side because modernity, education, industries, and human behavior have changed and developed all the time. Moreover, they have continued to play significant roles in the international shipping industry and have affected the dependent economy and trade globally. The aims of this study were (1) to study container management systems and (2) to analyze the factors affecting an efficient container yard management system. Methodology - This research is classified as applied research, which consists of field surveys using the case record/report form (CRF) and data gathered through observation. A sample frame of 400 vehicles was chosen for a specific case study of an empty container terminal operation area in Bangkok port. Findings - Performance metrics for container terminal management or yard operations based on truck turnaround time were calculated by applying the Confidence Interval Theory. The data were analyzed using the SPSS program's binary logistic regression method to consider the relationship between the independent and dependent variables. The results of the research have been found. The inbound container management system has been better delivered in time than the outbound, which has implemented a total operation within 16.12 minutes. Additionally, some factors have significantly impacted container yard performance, such as activity type, route, container size, distance, and tools. Novelty - This might be incurred by multifarious reasons, such as operational stages, waiting time, data transmission, task and tool allocation, areas, traffic congestion, searching the container in blocks, etc. Type of Paper - Empirical research"

Suggested Citation

  • Oraya Nopparit, 2024. "Efficient Container Logistics System Model," GATR Journals jber248, Global Academy of Training and Research (GATR) Enterprise.
    • Handle: RePEc:gtr:gatrjs:jber248
    DOI: https://doi.org/10.35609/jber.2024.9.1(3)
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    References listed on IDEAS

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    1. Chen, Lu & Lu, Zhiqiang, 2012. "The storage location assignment problem for outbound containers in a maritime terminal," International Journal of Production Economics, Elsevier, vol. 135(1), pages 73-80.
    2. Damla Kizilay & Deniz Türsel Eliiyi, 2021. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 1-42, March.
    3. Mar-Ortiz, Julio & Castillo-García, Norberto & Gracia, María D., 2020. "A decision support system for a capacity management problem at a container terminal," International Journal of Production Economics, Elsevier, vol. 222(C).
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    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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