The inspection of foreign ships in national ports is a critical measure in port state control (PSC), preventing substandard ships from entering national ports. Multifarious inspection items, limited inspection time and inspector manpower are challenging PSC inspection. This research applies data mining to analyze historical PSC inspection records in Taiwan’s major ports to extract potential valuable information for PSC onboard inspections. Using the Apriori Algorithm, the analysis identifies many useful association rules among PSC deficiencies in terms of specific ship characteristics, such as ship types, societies, and flags. The general rules identified show that the items ‘Water/Weathertight conditions’ and ‘Fire safety’ are significantly related. Besides, in the analysis of the various ship types, several different rules are found. After comparing the analysis of ship types and ship societies, it can be observed that the association rules for specific ship types, such as oil tankers, have a better effect than those for individual ship societies do. These identified rules can not only help inspectors effectively spot the associated deficiencies, but also improve the efficiency of PSC inspection. The ports other than Taiwan’s ports can apply a similar analysis method to identify corresponding association rules suitable for their own inspections.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Association rule learning to improve deficiency inspection in port state control


    Beteiligte:
    Chung, Wu-Hsun (Autor:in) / Kao, Sheng-Long (Autor:in) / Chang, Chun-Min (Autor:in) / Yuan, Chien-Chung (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2020-04-02


    Format / Umfang :

    20 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Port State Control Inspection Deficiencies

    Cariou, Pierre / Wolff, François‐Charles / Mejia, Maximo Q. Jr. | Wiley | 2012


    Association rule mining for identification of port state control patterns in Malaysian ports

    Osman, Mohd Tarmizi / Yuli, Chen / Li, Tian et al. | Taylor & Francis Verlag | 2021

    Freier Zugriff

    Coordinated approaches for port state control inspection planning

    Yan, Ran / Wang, Shuaian / Fagerholt, Kjetil | Taylor & Francis Verlag | 2022


    Efficiency of Port State Control inspection regimes: A comparative study

    Xiao, Yi / Qi, Guanqiu / Jin, Mengjie et al. | Elsevier | 2021


    Effectiveness of port state control inspection using Bayesian network modelling

    Fan, Lixian / Zheng, Lan / Luo, Meifeng | Taylor & Francis Verlag | 2022