A Quantified Ship Condition Inspection Model Based on SWARA and SAW

Kadir Cicek*, Gulden Kurtel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

To provide sustainable, safe, and resilient maritime transport, it is an essential aspect to monitor the operational conditions of ships at regular intervals. Therefore, public and private maritime authorities spend considerable effort monitoring the ships' conditions through adapting and implementing various inspection regimes. This paper proposes a new hybrid approach to quantify the ship condition inspections to determine whether the ship complies with the international maritime regulations or not. In the proposed approach, Step-wise weight assessment ratio analysis (SWARA) and simple additive weighting (SAW) methodologies are integrated aiming to achieve a global score that reflects the condition of the inspected ship. In the proposed approach, SWARA methodology is used to determine the weights of inspection criteria. SAW methodology is used to calculate the global score considering the criteria weights. Also, in the study, a ship condition assessment (SCA) form is developed which can be used for ship inspections. The applicability of the proposed approach and developed form is demonstrated on the inspection of the selected general cargo ships.

Original languageEnglish
JournalInternational Journal of Information Technology and Decision Making
DOIs
Publication statusAccepted/In press - 2022

Bibliographical note

Publisher Copyright:
© 2022 World Scientific Publishing Company.

Keywords

  • Maritime transport
  • multi-criteria decision-making (MCDM)
  • quantified inspection
  • safe maritime transport
  • ship condition inspection
  • simple additive weighting (SAW)
  • step-wise weight assessment ratio analysis (SWARA)

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