Risk analysis of break-in-two accident of ships using fuzzy DEMATEL method

被引:32
作者
Kuzu, Ali Cem [1 ]
机构
[1] Piri Reis Univ, Dept Maritime Transportat & Management Engn, TR-34940 Istanbul, Turkey
关键词
Ship structure; Maritime safety; Hull damage; Fuzzy logic; DEMATEL; Risk analysis; SAFETY; OPTIMIZATION; MANAGEMENT; OPERATIONS;
D O I
10.1016/j.oceaneng.2021.109410
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Structural damage accidents that lead to disastrous results are an important problem in the maritime industry. However, as a sectoral requirement, factors causing break-in-two accident of ships are not clearly defined. In this study, an alternative risk analysis approach based on 18 factors that trigger ship structural damage was presented in order to prevent break-in-two accident of ships. These factors were determined by using literature review and they were analyzed using fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory), a widely used method to find out the cause and effect relationship among. Nine factors for cause and effect groups were investigated separately. According to the analyses, in the cause group, cargo specification (0.87), competency of the crew involved in the cargo handling operation (0.78), compliance with international rules, regulations and guidelines about ship safety and cargo operation (0.63), heavy weather (0.59) were identified as the most critical factors. However, among the effect group, cargo stowage and operational plan (3.30), ship's age, hull and structure condition (3.31) and complying with the ship's planned maintenance system (2.67) were indicated as the most highly significant factors. Accordingly, some recommendations for using fuzzy DEMATEL approach were made considering ship structural accidents and preventive measures.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Analysis of quality control criteria in an business with the fuzzy DEMATEL method: Glass business example
    Celik, Mirac Tuba
    Arslankaya, Seher
    JOURNAL OF ENGINEERING RESEARCH, 2023, 11 (02):
  • [32] A risk analysis model for mining accidents using a fuzzy approach based on fault tree analysis
    Yasli, Fatma
    Bolat, Bersam
    JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2018, 31 (04) : 577 - 594
  • [33] Risk Analysis Method: A Fuzzy Approach
    Deng, Yong
    Su, Xiaoyan
    Jiang, Wen
    Xu, Jianling
    Xu, Peida
    THIRD INTERNATIONAL SYMPOSIUM ON ELECTRONIC COMMERCE AND SECURITY WORKSHOPS (ISECS 2010), 2010, : 146 - 150
  • [34] Evaluation of psychosocial risks affecting academician using the Sine Trigonometric Pythagorean Fuzzy (ST-PFN) DEMATEL method
    Tepe, Serap
    Cabuk, Ahmet
    Eti, Serkan
    Mertoglu, Buelent
    WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION, 2025, 80 (01): : 183 - 198
  • [35] Accident-based FMECA study of Marine boiler for risk prioritization using fuzzy expert system
    Ahmed, Shoaib
    Gu, Xie-Chong
    RESULTS IN ENGINEERING, 2020, 6
  • [36] Risk identification and assessment with the fuzzy DEMATEL-ANP method in oil and gas projects under uncertainty
    Khalilzadeh, Mohammad
    Shakeri, Hedieh
    Zohrehvandi, Shakib
    INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS / INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT / INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES 2020 (CENTERIS/PROJMAN/HCIST 2020), 2021, 181 : 277 - 284
  • [37] Circular economy adoption barriers: An extended fuzzy best-worst method using fuzzy DEMATEL and Supermatrix structure
    Govindan, Kannan
    Nasr, Arash Khalili
    Karimi, Farzane
    Mina, Hassan
    BUSINESS STRATEGY AND THE ENVIRONMENT, 2022, 31 (04) : 1566 - 1586
  • [38] Risk Assessment of COVID-19 Transmission on Cruise Ships Using Fuzzy Rules
    Sovatzidi, Georgia
    Triantafyllou, Georgios
    Dimas, George
    Kalozoumis, Panagiotis G.
    Drikakis, Dimitris
    Kokkinakis, Ioannis W.
    Markakis, Ioannis A.
    Golna, Christina
    Iakovidis, Dimitris K.
    ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, PT III, AIAI 2024, 2024, 713 : 336 - 348
  • [39] Enhancing Predictive Analysis of Vehicle Accident Risk: A Fuzzy-Bayesian Approach
    Mensouri, Houssam
    Bouhsaien, Loubna
    Amazou, Youssra
    Azmani, Abdellah
    Azmani, Monir
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (07) : 1042 - 1055
  • [40] Safety Risk Analysis of Unmanned Ships in Inland Rivers Based on a Fuzzy Bayesian Network
    Zhang, Xiuxia
    Zhang, Qingnian
    Yang, Jie
    Cong, Zhe
    Luo, Jing
    Chen, Huanwan
    JOURNAL OF ADVANCED TRANSPORTATION, 2019, 2019