An Evaluation of Human Error Probabilities for Critical Failures in Auxiliary Systems of Marine Diesel Engines

Demirel, Hakan

doi:10.1007/s11804-020-00153-3

Cited by 3 publications

(5 citation statements)

References 23 publications

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“…Kandemir, & Celik (2021) analyzed and determined the conditions under which errors in marine engineering maintenance and operations occur using a Human Factors Analysis and Classification System (HFACS) approach. Demirel (2020) utilised Cognitive Reliability Error Analysis Method (CREAM) to evaluate the failures in auxiliary systems of marine diesel engines that may be caused by human. Islam et al (2018) identified the most important environmental factors affecting seafarers' performance during maintenance operation on-board ship using experienced seafarers' feedbacks and literature analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

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An Evaluation of the Effects of Human Factors on Pilotage Operations Safety

Oraith

Blanco-Davis

Yang

et al. 2021

J. Marine. Sci. Appl.

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Section: Literature Reviewmentioning

confidence: 99%

“…Furthermore, several methods have been employed in studies on accident analysis and risk analysis, and safety assessment, including Cognitive Reliability Error Analysis Method (CREAM) (e.g. Demirel (2020), Yang et al, (2019)), Fuzzy AHP (FAHP) (e.g. Hsu, 2012), Bayesian network (BN) (e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

An Evaluation of the Effects of Human Factors on Pilotage Operations Safety

Oraith

Blanco-Davis

Yang

et al. 2021

J. Marine. Sci. Appl.

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“…Failures due to improper maintenance are usually caused by human errors and they are hard to predict or avoid. The assessment of human reliability during turbocharger maintenance procedures is presented in [24] and an evaluation of human error probabilities in [25], with emphasis on contributing factors for making errors such as a high level of noise and vibration, weather conditions, level of ship motion and stress. The probability of human error during the cleaning of the air filter is very low because it is an easy task to perform and an old filter with a silencer can be replaced or washed onboard.…”

Section: Optimization and Maintenance Of Air Filter And Compressor Wheelmentioning

confidence: 99%

Fault Tree Analysis and Failure Diagnosis of Marine Diesel Engine Turbocharger System

Knežević

Orović

Stazić

et al. 2020

JMSE

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The reliability of marine propulsion systems depends on the reliability of several sub-systems of a diesel engine. The scavenge air system is one of the crucial sub-systems of the marine engine with a turbocharger as an essential component. In this paper, the failures of a turbocharger are analyzed through the fault tree analysis (FTA) method to estimate the reliability of the system and to predict the cause of failures. The quantitative method is used for assessing the probability of faults occurring in the turbocharger system. The main failures of a scavenge air sub-system, such as air filter blockage, compressor fouling, turbine fouling (exhaust side), cooler tube blockage and cooler air side blockage, are simulated on a Wärtsilä-Transas engine simulator for a marine two-stroke diesel engine. The results obtained through the simulation can provide improvement in the maintenance plan, reliability of the propulsion system and optimization of turbocharger operation during exploitation time.

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“…The Cognitive Reliability and Error Analysis Method (CREAM) is one of the most well-known approaches within the second category. [10][11][12] This method was first introduced in 1998 by Hollnagel. 13 One of the features of this method is that it focuses on the cognitive contexts of human behavior.…”

Section: Introductionmentioning

confidence: 99%

“…Various methods and techniques exist for mitigating human errors, which can be categorized into two main groups: first‐generation methods and second‐generation methods. The Cognitive Reliability and Error Analysis Method (CREAM) is one of the most well‐known approaches within the second category 10–12 . This method was first introduced in 1998 by Hollnagel 13 .…”

Section: Introductionmentioning

confidence: 99%

A new model to optimize the human reliability based on CREAM and group decision making

Bafandegan Emroozi,

Modares,

Roozkhosh

2023

Quality & Reliability Eng

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The Cognitive Reliability and Error Analysis Method (CREAM) represents one of the second‐generation approaches to human reliability assessment, taking into account the influence of environmental conditions on human error probability (HEP). In the context of CREAM, the Common Performance Conditions (CPCs) influence error probabilities. Since not all CPCs have equal impacts, this study employs the Bayesian Best Worst Method (BWM), a novel approach in group decision‐making, to assign weights to these factors. Subsequently, two techniques based on basic CREAM are proposed. The current control mode is determined in the first technique according to the experts' opinions. Then the probability of human error is calculated based on the amount of control. It is possible to provide solutions for improving control mode, based on obtained results. Therefore, in this study, the second method has been used to make suggestions to enhance human reliability. For this purpose, in the second technique, an optimization problem is formulated to select the best applicable programs for managers to enhance human reliability. The proposed bi‐objective model tries to increase the reliability of human resources by reducing human error and costs. The proposed bi‐objective model seeks to bolster the reliability of human resources by concurrently minimizing HEP and associated costs. The efficiency of the presented methods is verified through a case study in the control room of the cement factory. The results of the first technique reveal an opportunistic control mode with a corresponding HEP of 0.0198. On the other hand, the outcomes of our proposed model underscore the greater impact of improving CPC levels in reducing the probability of human error. Ultimately, the practical programs derived from our mathematical model provide decision‐makers with valuable insights to reduce the probability of human error to a mere 0.000172 through the transition from opportunistic to strategic control.

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An Evaluation of Human Error Probabilities for Critical Failures in Auxiliary Systems of Marine Diesel Engines

Cited by 3 publications

References 23 publications

An Evaluation of the Effects of Human Factors on Pilotage Operations Safety

An Evaluation of the Effects of Human Factors on Pilotage Operations Safety

Fault Tree Analysis and Failure Diagnosis of Marine Diesel Engine Turbocharger System

A new model to optimize the human reliability based on CREAM and group decision making

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