Prediction of human error probability in helicopter to ship transfer operation under an evidential reasoning extended CREAM approach

被引:0
|
作者
Arici, Seher Suendam [1 ]
Tekeli, Murat Mert [1 ]
Sezer, Sukru Ilke [1 ,2 ]
Akyuz, Emre [1 ]
Arslan, Ozcan [1 ]
Aydin, Muhammet [3 ]
机构
[1] Istanbul Tech Univ, Dept Maritime Transportat & Management Engn, Istanbul, Turkiye
[2] Iskenderun Tech Univ, Dept Maritime Transportat & Management Engn, Iskenderun, Turkiye
[3] Recep Tayyip Erdogan Univ, Dept Maritime Transportat & Management Engn, Rize, Turkiye
关键词
human error; occupational safety; evidential reasoning; CREAM; helicopter transfer; QUANTIFICATION; MODEL;
D O I
10.1080/10803548.2024.2399427
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Although the helicopter to ship transfer operation is rarely applied in ports around the world, some of the hub ports have encouraged it. The operational process poses challenges to safety due to the nature of the work to be completed by the ship crew. This article performs a systematic human error prediction to ensure safe helicopter to ship transfer operations under different circumstances since the human factor is becoming a significant contributor to maritime accidents. To accomplish this, the article addresses a cognitive reliability and error analysis method (CREAM) under the evidential reasoning (ER) approach. In the proposed approach, the CREAM provides a comprehensive human error prediction tool and ER is capable of supporting experts' judgment in decision-making. The findings of the research show that 'Secure the loose objects within or adjacent to the operating area' poses a high human error probability (4.50E-02) during helicopter to ship transfer operations.
引用
收藏
页数:12
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  • [1] Prediction of human error probability under Evidential Reasoning extended SLIM approach: The case of tank cleaning in chemical tanker.
    Sezer, Sukru Ilke
    Akyuz, Emre
    Gardoni, Paolo
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 238
  • [2] Analysing human error contribution to ship collision risk in congested waters under the evidential reasoning SPAR-H extended fault tree analysis
    Uflaz, Esma
    Akyuz, Emre
    Arslan, Ozcan
    Gardoni, Paolo
    Turan, Osman
    Aydin, Muhammet
    [J]. OCEAN ENGINEERING, 2023, 287
  • [3] A Quantitative HAZOP Risk Analysis Under Extended CREAM Approach for Maritime Autonomous Surface Ship (MASS) Operation
    Kurt, Yasin Burak
    Akyuz, Emre
    Arslan, Ozcan
    [J]. MARINE TECHNOLOGY SOCIETY JOURNAL, 2022, 56 (04) : 59 - 73
  • [4] A hybrid human error probability determination approach: The case of cargo loading operation in oil/chemical tanker ship
    Akyuz, Emre
    Celik, Metin
    [J]. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2016, 43 : 424 - 431
  • [5] Prediction of human error probability during the hydrocarbon road tanker loading operation using a hybrid technique of fuzzy sets, Bayesian network and CREAM
    Ghasemi, Fakhradin
    Ghasemi, Arash
    Kalatpour, Omid
    [J]. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS, 2022, 28 (03) : 1342 - 1352
  • [6] Quantitative Failure Analysis of the Ballast Pump System Onboard a Ship under HAZOP and the Extended CREAM Approach
    Aydin, Muhammet
    [J]. JOURNAL OF ETA MARITIME SCIENCE, 2023, 11 (04) : 222 - 231
  • [7] Applying evidential reasoning extended SPAR-H modelling to analyse human reliability on crude oil tanker cargo operation
    Elidolu, Gizem
    Ahn, Sung Il
    Sezer, Sukru Ilke
    Kurt, Rafet Emek
    Akyuz, Emre
    Gardoni, Paolo
    [J]. SAFETY SCIENCE, 2023, 164
  • [8] Assessment of human error contribution to maritime pilot transfer operation under HFACS-PV and SLIM approach
    Aydin, Muhammet
    Ugurlu, Ozkan
    Boran, Muhammet
    [J]. OCEAN ENGINEERING, 2022, 266
  • [9] Prediction of human error probabilities in a critical marine engineering operation on-board chemical tanker ship: The case of ship bunkering
    Akyuz, Emre
    Celik, Metin
    Akgun, Ilker
    Cicek, Kadir
    [J]. SAFETY SCIENCE, 2018, 110 : 102 - 109
  • [10] Evidential reasoning and machine learning-based framework for assessment and prediction of human error factors-induced fire incidents
    Ouache, R.
    Bakhtavar, E.
    Hu, G.
    Hewage, K.
    Sadiq, R.
    [J]. JOURNAL OF BUILDING ENGINEERING, 2022, 49