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SLIM based methodology for human error probability calculation of bunker spills in maritime operations

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  • Kayisoglu, Gizem
  • Gunes, Bunyamin
  • Besikci, Elif Bal

Abstract

System reliability assessment is among the main acts in the operation and maintenance of every industrial and service sector, which also applies to maritime transportation system. Safety is an important parameter for system reliability assessment and a top priority for maritime transportation sector due to its direct effects on the environment, human life, and goods transported. Because human factor plays a very critical role on improving safety onboard, reliability assessment becomes vital for researchers and decision makers. The human factor also has an important role in bunkering operations. Bunkering is a routine operation on a ship which has been the cause of several accidental oil spills in the past. To prevent environmental damages caused by oil spill, bunkering operation requires careful planning, utmost care and high performance of the ship's crew. In this regard, the prediction of human error probabilities offers an advantage to prevent environmental pollution at sea and also provides a high level of safety in maritime industry. Therefore, the aim of this study is to calculate human error probabilities in bunkering operation by using Success Likelihood Index Method (SLIM). This study can also be used as a decision-making tool by ship's crew for improving safety at sea and preventing ship-based oil spill through providing a strategic and effective approach in bunkering operations.

Suggested Citation

  • Kayisoglu, Gizem & Gunes, Bunyamin & Besikci, Elif Bal, 2022. "SLIM based methodology for human error probability calculation of bunker spills in maritime operations," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:reensy:v:217:y:2022:i:c:s095183202100555x
    DOI: 10.1016/j.ress.2021.108052
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    Cited by:

    1. Jun Shen & Xiaoxue Ma & Weiliang Qiao, 2022. "A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis," IJERPH, MDPI, vol. 19(15), pages 1-34, July.
    2. Liu, Hu-Chen & Wang, Jing-Hui & Zhang, Ling & Zhang, Qi-Zhen, 2022. "New success likelihood index model for large group human reliability analysis considering noncooperative behaviors and social network," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    3. Zhou, Jian-Lan & Yu, Ze-Tai & Xiao, Ren-Bin, 2022. "A large-scale group Success Likelihood Index Method to estimate human error probabilities in the railway driving process," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    4. Tao, Longlong & Chen, Liwei & Ge, Daochuan & Yao, Yuantao & Ruan, Fang & Wu, Jie & Yu, Jie, 2022. "An integrated probabilistic risk assessment methodology for maritime transportation of spent nuclear fuel based on event tree and hydrodynamic model," Reliability Engineering and System Safety, Elsevier, vol. 227(C).

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