Ship Deficiency Data of Port State Control to Identify Hidden Risk of Target Ship

Abstract

In the new inspection regime (NIR) of port state control (PSC), the criteria for being judged as a standard risk ship (SRS) is too broad. Some ships are classified as SRS even though they have a large number of ship deficiencies. This paper develops a selection system to identify the hidden risk of target ships in the SRS category using PSC inspection records. This system allows the target ship to be used to help reduce cases of flags being greylisted or blacklisted, which can cause huge shipping losses. This study analyzes ship deficiency data in the Tokyo memorandum of understanding (Tokyo MoU) database. It adopts the multiple criteria decision making (MCDM) model as a data processing technique to build a risk assessment scale. It uses fuzzy importance performance analysis (F-IPA) and technology for order preference by similarity to the ideal solution (TOPSIS) for its analysis. Subsequently, the weights of F-IPA and TOPSIS are adopted into the MCDM model. This article also consulted the Tokyo MoU database. It has been verified that the next time PSC inspection, the system hits 83.3% of the hidden risk ships in the SRS category. Thus, this system will help inspectors be more insightful for target ships.

Identification of Data Analysis Methods and Focus Trends in Port State Control Inspections: A Comprehensive Literature Review

“…The model was developed using data from the Tokyo MoU Port State Control (PSC) regime. Shen et al (2021) employed fuzzy importance-performance analysis (F-IPA) and TOPSIS to examine data on ship deficiencies taken from the Tokyo MoU database. conducted a traditional analysis of PSC reports from March 2012 to April 2016, designed as a methodical process for assessing and evaluating printed and electronic documents.…”

Formation of Dataset for Fuzzy Quantitative Risk Assessment of LNG Bunkering SIMOPs

“…The most Data 2022, 7, 60 3 of 13 commonly used fuzzy numbers are triangular and trapezoidal fuzzy numbers [38]. In the existing literature, studies have demonstrated that the applications of the fuzzy set theory contribute to risk assessment methods and safety-related decision-makings in the real-world [39][40][41][42][43][44].…”

Α proactive and diligent approach to Institutional Developments for sustainable vessel operation

“…The enumeration of flags that meet the standards for low-risk ships is for the Tokyo MOU process only. Thus, for the purposes of compiling the set list, flags of the Tokyo MoU white list who have completed the Voluntary Ecological Audit of IMO member states (VIMSAS) 1554 have been dictated to inform in writing the Tokyo MoU Secretariat for the completion of the VIMSAS check, for the proper recognition of the NIR compliance 1555 .…”