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An extended HEART Dempster–Shafer evidence theory approach to assess human reliability for the gas freeing process on chemical tankers

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  • Sezer, Sukru Ilke
  • Akyuz, Emre
  • Arslan, Ozcan

Abstract

Human reliability assessment is vital for most critical shipboard operations such as cargo loading, discharging, purging, gas freeing, etc. on chemical tanker ships since the nature of these processes poses significant threats. There are few human reliability studies particularly applied to shipboard operations in the maritime industry. To remedy this gap, the paper assesses human reliability systematically during the gas freeing process on a chemical tanker ship. To achieve this purpose, an extended HEART d-S (Dempster–Shafer) evidence theory approach is utilised. Although HEART (Human Error Assessment and Reduction Technique) presents a practical human reliability assessment tool, it heavily relies on the judgment of a single rater during APOE (assess proportion of effect). The paper adopts d-S evidence theory to remedy the aforementioned gap since it fuses raters’ opinions. The first novelty of the proposed hybrid method is the use of customized task analysis for shipboard applications within a second-generation HEART d-S evidence method in the maritime industry. Besides its theoretical background, the paper provides practical contributions to maritime safety professionals, chemical tanker ship owners, and safety inspectors to enhance their operational safety and to minimize the probability of human error during the gas freeing process on board chemical tanker ships.

Suggested Citation

  • Sezer, Sukru Ilke & Akyuz, Emre & Arslan, Ozcan, 2022. "An extended HEART Dempster–Shafer evidence theory approach to assess human reliability for the gas freeing process on chemical tankers," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    • Handle: RePEc:eee:reensy:v:220:y:2022:i:c:s0951832021007481
    DOI: 10.1016/j.ress.2021.108275
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    References listed on IDEAS

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    1. Elidolu, Gizem & Sezer, Sukru Ilke & Akyuz, Emre & Arslan, Ozcan & Arslanoglu, Yasin, 2023. "Operational risk assessment of ballasting and de-ballasting on-board tanker ship under FMECA extended Evidential Reasoning (ER) and Rule-based Bayesian Network (RBN) approach," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    2. Uflaz, Esma & Sezer, Sukru Ilke & Tunçel, Ahmet Lutfi & Aydin, Muhammet & Akyuz, Emre & Arslan, Ozcan, 2024. "Quantifying potential cyber-attack risks in maritime transportation under Dempster–Shafer theory FMECA and rule-based Bayesian network modelling," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    3. Obeng, Francis & Domeh, Daniel & Khan, Faisal & Bose, Neil & Sanli, Elizabeth, 2024. "An operational risk management approach for small fishing vessel," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    4. Akide Cerci Ogmen & Ismail Ekmekci, 2022. "HEART Hybrid Methods for Assessing Human Reliability in Coal-Fired Thermal Power Plant Process," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    5. Sezer, Sukru Ilke & Camliyurt, Gokhan & Aydin, Muhmmet & Akyuz, Emre & Gardoni, Paolo, 2023. "A bow-tie extended D-S evidence-HEART modelling for risk analysis of cargo tank cracks on oil/chemical tanker," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    6. Ji, Changcheng & Gao, Fei & Liu, Wenjiang, 2024. "Dependence assessment in human reliability analysis based on cloud model and best-worst method," Reliability Engineering and System Safety, Elsevier, vol. 242(C).

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