IDEAS home Printed from https://ideas.repec.org/a/taf/tjsmxx/v8y2014i1p91-104.html
   My bibliography  Save this article

Fuzzy FMEA model for risk evaluation of ship collisions in the Malacca Strait: based on AIS data

Author

Listed:
  • M B Zaman
  • E Kobayashi
  • N Wakabayashi
  • S Khanfir
  • T Pitana
  • A Maimun

Abstract

Maritime safety in the Malacca Strait is an important issue. The Strait of Malacca is the longest strait in the world (1120 km) and is classified as a high-risk area for navigation. The 800-km (500-mile) long Malacca Strait, linking Europe and the Middle East to the Asia-Pacific, carries about 40% of world trade. The strait is the main shipping channel between the Indian Ocean and the Pacific Ocean, linking major Asian economies such as those of India, China, Japan, and South Korea. In this paper, hazard identification and risk evaluation are established as steps of a formal safety assessment for ship collisions. The inputs of a fuzzification are obtained from a failure mode and effects analysis, which includes risk factors such as occurrence (O), severity (S), and detection (D). The risk factors O, S, and D are evaluated using the fuzzy method. The actual sea-traffic condition data are collected by means of Automatic Identification System equipment that is installed at Kobe University, Japan, and the Universiti Teknologi Malaysia (UTM) Johor, Malaysia. Those data are applied to establish the methods with the help of the Geographic Information System .

Suggested Citation

  • M B Zaman & E Kobayashi & N Wakabayashi & S Khanfir & T Pitana & A Maimun, 2014. "Fuzzy FMEA model for risk evaluation of ship collisions in the Malacca Strait: based on AIS data," Journal of Simulation, Taylor & Francis Journals, vol. 8(1), pages 91-104, February.
  • Handle: RePEc:taf:tjsmxx:v:8:y:2014:i:1:p:91-104
    DOI: 10.1057/jos.2013.9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1057/jos.2013.9
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/jos.2013.9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Jinfen & Liu, Jiongjiong & Hirdaris, Spyros & Zhang, Mingyang & Tian, Wuliu, 2023. "An interpretable knowledge-based decision support method for ship collision avoidance using AIS data," Reliability Engineering and System Safety, Elsevier, vol. 230(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjsmxx:v:8:y:2014:i:1:p:91-104. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjsm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.