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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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Akyüz, Emre
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Arslan, Özcan
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Elsevier BV

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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.

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Reliability Engineering &amp; System Safety

ISSN

0951-8320

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CLOSED

Keywords

Human error assessment, Shipboard operations, Errors, Human reliability assessments, Reliability theory, Dempster shafer evidence theory, Engineering, Information, Assessment technique, Ship, Operation, Ships, Error reduction, Human error probabilities, Marine, Operations Research & Management Science, Hazards, Chemical tankers, Human reliability, Chemical tanker, Electrical Engineering, Electronics & Computer Science - Safety & Maintenance - Safety Climate, D-S evidence theory, Gas freeing process, Human Error, Nuclear Power Plants, Accidents, Job analysis, Ergonomics, Gases, Prediction, Reliability analysis, S evidence theory, Fuzzy, Reduction techniques

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