A Cognitive Human Error Analysis with CREAM in Control Room of Petrochemical Industry

Shokria, Sana; Varmazyar, Sakineh; Heydari, Payam

doi:10.5812/bhs-38592

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Many studies have pointed out the fundamental role of human errors in accident occurrence, with them being involved in 70-80% of aviation accidents [1], 60% of petrochemical accidents, 90% of road traffic accidents, 90% of steel and iron metallurgy accidents [2], over 90% of nuclear accidents, over 75-96% of marine accidents, and over 80% of chemical process accidents [3,4]. For this reason, deaths and injuries or health problems, financial losses, non-financial losses, and environmental damages happen due to human errors [5].…”

Section: Introductionmentioning

confidence: 99%

Human Factors Analysis by Classifying Chemical Accidents into Operations

Yalcin

Altun-Çiftçioğlu

Guzel³

2023

Sustainability

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In the chemical industry, organizational and operational human factors significantly contribute to accidents. Chemical accidents occur in various operations of the industry due to a range of factors. Understanding the relationship between these factors and the accidents that happen is crucial in preventing similar accidents from happening repeatedly and promoting sustainability. Therefore, this study was divided into five operations: maintenance repair, process, loading unloading, storage, and shutdown startup of the chemical industry, to provide a more concrete, intuitive explanation of the interplay between causes and illustrate the routes to failure. The data were collected from 251 accident reports from various online data. The study was analyzed using the Human Factors Analysis and Classification System (HFACS) method as a conceptual framework. Each level’s frequency variables were obtained to define nominal and ordinal data. The chi-square test and Fisher’s exact test were used in the difference analysis of data in the model. The results show that the high-frequency accidents caused under the HFACS framework were organizational processes in the process (63.73%), in the storage (70.58%), and in the shutdown startup (91.66%), and skill-based errors in the maintenance repair (81.81%) and in the loading unloading (66.03%). Furthermore, resource management, technological environment, and personal readiness were significantly correlated with the operations. Human factors have differences in different operations in the chemical industry.

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Section: Introductionmentioning

confidence: 99%

Human Factors Analysis by Classifying Chemical Accidents into Operations

Yalcin

Altun-Çiftçioğlu

Guzel³

2023

Sustainability

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“…So far, many studies have been performed using various methods such as SHERPA [19][20][21][22][23] CREAM [23,24] and HEART [25] in petrochemical control rooms; however, studies based on technique for the retrospective and predictive analysis of cognitive errors (TRACEr) are very rare. Therefore, the aim of this study was to analyze human error in the control room using the TRACEr method.…”

Section: Extended Abstract Introductionmentioning

confidence: 99%

Predictive Analysis of Cognitive Errors of Control Room Operators: a Case Study in a Petrochemical Industry

Ghahfarokhi¹,

Afshari²,

Shirali³

2021

Iran J Ergon

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Background and Objectives: In recent decades, several major accidents have occurred in high-reliability industries such as petrochemical companies. Accident analysis shows that the occurrence of more than 90% of accidents in industries are due to human factor and only with technical-engineering measures and the establishment of safety rules and regulations can not be institutionalized safe behaviors in such industries. Therefore, despite a slight reduction in human presence in these industries, the potential for human error risks is still high. The aim of this study was to identify and assess human errors in a petrochemical plant using the technique for the retrospective and predictive analysis of cognitive errors (TRACEr). Methods:The sample size was all the eight operators of control room working in four shifts. In the first step, all tasks were analyzed using the hierarchical task analysis in order to identify sub-tasks. Then, for all the subtasks, different error modes (external and internal), psychological error mechanism (PEM) and performance shaping factors (PSFs) were identified and recorded in TRACEr sheet. Results:The analysis of TRACEr sheets indicated that of a total number of 1171 detected errors, the internal and external errors were 50.67% (n=593) and 49.33% (n=578), respectively. In this line, ̔ timing/sequence̕ errors with 35.36% and 'quality/selection' errors with 30.03% were identified as the highest and lowest external error modes, respectively. In classifying the internal error modes, action errors with 31.87% and decision making with 10.73% were identified as the highest and lowest external error modes, respectively. Within PEMs, ̔ distraction/preoccupation̓ (23.61%) was identified as the main causes of perception errors. The analysis of the PSFs shows that 'Organization' with 27.95% and 'task complexity' with 8.74% were two main factors affecting the task errors. Conclusion:The current study could identify many of the errors and conditions that affect the performance of operators. Therefore, this study can be introduced as a basis for managers and stockholders of chemical industries with complexity and high risk in order to prioritize human error prevention programs.

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Analysis of driving left-turn errors of young and older drivers at urban intersections

Qu,

Li,

Wan

et al. 2024

Journal of Transportation Safety & Security

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A Cognitive Human Error Analysis with CREAM in Control Room of Petrochemical Industry

Abstract: Background: The cognitive human error analysis technique is one of the second-generation techniques used to evaluate human reliability; it has a strong, detailed theoretical background that focuses on the important cognitive features of human behavior.

Cited by 3 publications

References 13 publications

Human Factors Analysis by Classifying Chemical Accidents into Operations

Human Factors Analysis by Classifying Chemical Accidents into Operations

Predictive Analysis of Cognitive Errors of Control Room Operators: a Case Study in a Petrochemical Industry

Analysis of driving left-turn errors of young and older drivers at urban intersections

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