Exploring individual factors influencing human reliability among control room operators: a qualitative study

Ghalenoei, Mehran; Mortazavi, Seyed Bagher; Mazloumi, Adel; Pakpour, Amir H.

doi:10.1080/10803548.2021.1929698

Cited by 4 publications

(4 citation statements)

References 73 publications

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“…In an emergency, human error in any phase of the evacuation process can impede the entire process and increase the likelihood of significant casualties. It is compatible with Mehran Ghalehnovi's results about the evaluation of human error in the control room operators of petrochemical complexes (Ghalenoei et al, 2009). According to the findings of the study by Deacon et al (2013) the human error probability occurring during most emergency evacuation phases is significant.…”

Section: Discussionsupporting

confidence: 85%

Human error probability in the emergency evacuation

Ebrahemzadih,

Nazari,

Rahimimoghadam

et al. 2024

Sigurnost (Online)

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This study aims to determine the human error probability during the emergency evacuation of offshore platforms with the HEART technique. In this study, after completing an emergency maneuver with a fire and explosion scenario, the HTA method was used to identify and segregate the emergency evacuation activities, and the HEART technique was utilized to estimate the human error probability. Lastly, suitable control measures were suggested based on the evaluation's findings. In the event of a fire and explosion, the safest means of evacuating people and leaving the platform include evacuation by lifeboat, evacuation by rescue floats and rescue ships nearby, and evacuation by helicopter. Due to the extreme risk, evacuating individuals via life rafts and jumping directly into the water is not recommended. It is advised to examine the safety state of the platform, organize specialized safety training and weekly maneuvers for personnel participating in the emergency evacuation procedures of the platform, and monitor the repair, maintenance, and inspection status of the employed equipment.

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Section: Discussionsupporting

confidence: 85%

Human error probability in the emergency evacuation

Ebrahemzadih,

Nazari,

Rahimimoghadam

et al. 2024

Sigurnost (Online)

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“…In Equation ( 8), since the best criterion is compared with itself, then the value of 𝑎 𝐵𝐵 is one. Equation (8) states that the weight of the best criterion divided by the weight of each criterion is equal to the pair comparison of criteria 𝑤 with the best criterion. Which is again the exact relation we can see in the basic BWM.…”

Section: Bayesian Bwmmentioning

confidence: 99%

“…The control room serves as the center of an industrial system, and any errors made by control room operators during their duties can lead to adverse consequences and potentially irreparable damage. [6][7][8][9] Therefore, there is a need to enhance organizational productivity through the assessment of human errors. Various methods and techniques exist for mitigating human errors, which can be categorized into two main groups: first-generation methods and second-generation methods.…”

Section: Introductionmentioning

confidence: 99%

“…In the cement industry, control room operators are responsible for the critical task of continuous process control. The control room serves as the center of an industrial system, and any errors made by control room operators during their duties can lead to adverse consequences and potentially irreparable damage 6–9 . Therefore, there is a need to enhance organizational productivity through the assessment of human errors.…”

Section: Introductionmentioning

confidence: 99%

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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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