A cognitive reliability assessment method for aviationmaintenance error

Zhou, Xinxin; Zhou, Dong; Guo, Ziyue; Zhang, Wei

doi:10.1109/icrse.2015.7366446

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…The HRA methods take into consideration the name Performance Shaping Factors (PSFs) and the factors influencing human performance, which are determined by the individual characteristics of the human being, the environment, the organization or the activity that enhances or decreases human performance and increases or decreases the likelihood of human error ( [38,39]). Identifying the main key factors contributing errors and causes of maintenance errors is an essential aspect of HRA, and indeed, several papers were focused on References [23][24][25]29,32,36]. For example, the authors of the paper [29] deals with the human errors in the mining machines for the maintenance problems using fishbone cause and effect analysis, while the authors of Reference [24] presents a case study of human error probabilities in a railway maintenance system.…”

Section: Topic 1 and Topic 2: Human Error And Human Reliability In In...mentioning

confidence: 99%

“…Many factors significantly influencing human error was examined like time pressure, ability to detect and perceive problems, the existence of overriding information, the need to make absolute decisions, and a mismatch between the operator and the designer's model. The most common reasons leading humans to make mistakes of coal-mining machines were described by the authors of Reference [32], using a multi-criteria decision analysis method, able to rank and determine the key causes of maintenance errors, while the key factors of aviation maintenance errors were identified in Reference [23]. The study in Reference [36] presented a taxonomy of PSFs for the specific maintenance field.…”

Section: Topic 1 and Topic 2: Human Error And Human Reliability In In...mentioning

confidence: 99%

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The Role of Maintenance Operator in Industrial Manufacturing Systems: Research Topics and Trends

et al. 2021

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Maintenance contributes to gaining high business performance, guarantees system availability and reliability as well as safe and sustainable operations. Maintenance activity effectiveness depends on competences and the skills of operators whose performance strongly affects maintenance and production operations. The research field of human issues in industrial maintenance was deeply addressed in the literature; however, the current industrial paradigm, which focusses on the integration of new technologies in conventional manufacturing operations to support human performance, sheds light on new challenges for enterprises and opportunities for research in this field. While some literature reviews in the field of human errors and human factors are available, no study investigated the main topics, research trends and challenges related to the role of maintenance operators in manufacturing systems. This paper addresses the current state-of-the-art role of maintenance operators in manufacturing systems, providing an overview of the main studies. A systematic literature review was carried out to identify significant papers. Then, a topic modelling algorithm was used to detect the main topics of the selected papers to provide the research trends of the subject. The identified topics provided interesting research insights on the human role in industrial maintenance. Research trends and further research opportunities were defined.

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Section: Topic 1 and Topic 2: Human Error And Human Reliability In In...mentioning

confidence: 99%

Section: Topic 1 and Topic 2: Human Error And Human Reliability In In...mentioning

confidence: 99%

The Role of Maintenance Operator in Industrial Manufacturing Systems: Research Topics and Trends

et al. 2021

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Evaluating human error probability in maintenance task: An integrated system dynamics and machine learning approach

Bafandegan Emroozi,

Kazemi,

Pooya

et al. 2024

Hum Ftrs & Erg Mfg Svc

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Human error is often implicated in industrial accidents and is frequently found to be a symptom of broader issues within the sociotechnical system. Therefore, research exploring human error during maintenance activities is important. This article aims to assess the probability of human error in maintenance tasks at a cement factory using the Cognitive Reliability and Error Analysis Method and System Dynamics modeling. Given that human error probability (HEP) is influenced by various common performance conditions (CPCs) and their sub‐factors, and changes dynamically in response to other variables, the SD method offers a practical approach for estimating and predicting human error behavior over time. This study identifies and quantifies the variables affecting HEP, explores their interactions and feedback in maintenance tasks, and assesses the associated costs. The machine learning technique is then used to estimate the relationship between HEP and these costs. The optimal value of the HEP function, 0.000772, is determined by identifying the minimum point of a cubic function, thereby minimizing associated costs and occupational accidents. Determining the optimal HEP is crucial for minimizing excessive costs and investing in improved ergonomics and CPCs for better performance. This addresses a significant gap in existing research where the impact of human error on maintenance tasks has not been estimated as a function. Furthermore, three scenarios are presented to help managers allocate the organization's budget more effectively.

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A cognitive reliability assessment method for aviationmaintenance error

Cited by 2 publications

References 8 publications

The Role of Maintenance Operator in Industrial Manufacturing Systems: Research Topics and Trends

The Role of Maintenance Operator in Industrial Manufacturing Systems: Research Topics and Trends

Evaluating human error probability in maintenance task: An integrated system dynamics and machine learning approach

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