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Liner-dedicated manageability estimation for port operational reliability

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  • Park, Jaehun
  • Lee, Byung Kwon

Abstract

A container port consists of various sub-systems such as berth, block, gate, etc., which consists of different types of machines where containers are handled. Much research has been conducted on improving operational performance of a container port over the past decades by enhancing the handling efficiency at each sub-system, eliminating unproductive moves, and synchronizing the handshake activities between them. The high operational performance is achieved by efficiently scheduling handling activities of containers for each ship based on standardized operational processes, unless unexpected events disrupt container workflows in the operational processes. Therefore, it is imperative to effectively control the operational processes by looking into the manageability of container workflows. This study employs an event-based learning approach to analyze the operational discrepancy of container workflows in operational processes and estimate operational manageability in view of the proposed management components (i.e., logistics, machine, and time) from the analytical outcomes. The comparative experiments were conducted on a real-world dataset to estimate the operational manageability of a container port for ships of various shipping liners.

Suggested Citation

  • Park, Jaehun & Lee, Byung Kwon, 2020. "Liner-dedicated manageability estimation for port operational reliability," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:reensy:v:198:y:2020:i:c:s0951832018314789
    DOI: 10.1016/j.ress.2020.106897
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    Cited by:

    1. Dui, Hongyan & Zheng, Xiaoqian & Wu, Shaomin, 2021. "Resilience analysis of maritime transportation systems based on importance measures," Reliability Engineering and System Safety, Elsevier, vol. 209(C).

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