An interval type-2 fuzzy SLIM approach to predict human error in maritime transportation

Pelin Erdem; Emre Akyuz

doi:10.1016/j.oceaneng.2021.109161

An interval type-2 fuzzy SLIM approach to predict human error in maritime transportation

Pelin Erdem^*
, Emre Akyuz

^*Corresponding author for this work

Department of Maritime Transportation and Management Engineering

Piri Reis University

Research output: Contribution to journal › Article › peer-review

68 Citations (Scopus)

Abstract

The human factor is regarded as one of the most significant topics for sustainable maritime transportation since increasing shipping activities can pose potential hazards to human life, the environment, and commodity. The paper aims to assess the potential contribution of human errors in the maritime industry. Hence, Success Likelihood Index Method (SLIM) was employed by incorporating interval type-2 fuzzy sets (IT2FSs). While SLIM systematically estimates human error probability (HEP) for the designated task, IT2FS deals with subjectivity in the process of using experts’ judgements. A loading operation onboard containership was investigated due to its considerable risks for the marine environment. Safety culture, experience, fatigue, and time limitation were observed as highly effective on crew performance. The obtained results indicate that the IT2FS-SLIM approach can effectively be applied for determining the vulnerabilities and critical human errors in the operational process. The paper is also intended to enhance safety control levels and minimize potential errors in maritime transportation.

Original language	English
Article number	109161
Journal	Ocean Engineering
Volume	232
DOIs	https://doi.org/10.1016/j.oceaneng.2021.109161
Publication status	Published - 15 Jul 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd

Funding

This article is produced from the PhD thesis entitled “A Quantitative Approach on Human Factor Analysis in Maritime Operations” which has been executed in the Maritime Transportation Engineering Program of ITU Graduate School.

Funders
International Technological University

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Human error
Interval type-2 fuzzy sets
Maritime transportation
SLIM

Access to Document

10.1016/j.oceaneng.2021.109161

Cite this

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An interval type-2 fuzzy SLIM approach to predict human error in maritime transportation

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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