Human Factors Analysis of Naval Transport Aircraft Maintenance and Flight Line Related Incidents

Schmidt, John K.; Usn,; Figlock, Robert; Usmc,; Teeters, Curtis D.

doi:10.4271/1999-01-2981

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…Some improved methods based on HFACS have also been developed and used in industrial maintenance, the most common of which are aviation, maritime and railway (Hulme et al, 2019). Schmidt et al (1999) developed an accident investigation method (HFACS-ME) for aviation maintenance errors. Zhan et al (2017) proposed a human and organizational factor analysis (HFACS-RAS) for railway accidents.…”

Section: Human Error Analysis Techniquesmentioning

confidence: 99%

Human error in maintenance: A case study from China

Duan

Zhang

Xia

2022

Hum Ftrs & Erg Mfg Svc

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Human error is an essential factor that affects the quality and safety of industrial production. To deeply understand the human factors that cause failures in an organization from the perspective of maintenance personnel, we propose an analytical approach combined with Fault Tree Analysis and qualitative analysis and apply this approach to maintenance task failure incidents. These proposed methods are based on human factor classification and the Human Factors Analysis and Classification System. We conduct a case study to prove the effectiveness of applying our approach to the Chinese manufacturing industry. Results enabled the disclosure of the “latent factors” of maintenance incidents, helped improve human error analysis in maintenance incidents and helped to understand the fundamental reasons that affect work reliability and cause maintenance failures. This case study focuses on the impact of critical human factors on organizational effectiveness and operational reliability during maintenance activities.

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Section: Human Error Analysis Techniquesmentioning

confidence: 99%

Human error in maintenance: A case study from China

Duan

Zhang

Xia

2022

Hum Ftrs & Erg Mfg Svc

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“…For example, Krulak (2004) found around 60% of the aircraft mishaps due to maintenance could be traced to errors in human judgement. Studies use Human Factors Analysis and Classification system-Maintenance Extension (HFACS-ME) (Schmidt et al 1999) and refer to Generic Error-Modelling System (GEMS) (Reason and Hobbs 2003) and skill-based-rule-based-knowledge-based (SRK) models (Rasmussen 1983) to explain causal factors. Although these methods find judgemental errors leading to maintenance errors, they do not uncover the underlying cognitive mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Judgemental errors in aviation maintenance

Illankoon

Tretten

2019

Cogn Tech Work

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Aircraft maintenance is a critical success factor in the aviation sector, and incorrect maintenance actions themselves can be the cause of accidents. Judgemental errors are the top causal factors of maintenance-related aviation accidents. This study asks why judgemental errors occur in maintenance. Referring to six aviation accidents, we show how various biases contributed to those accidents. We first filtered aviation accident reports, looking for accidents linked to errors in maintenance judgements. We analysed the investigation reports, as well as the relevant interview transcriptions. Then we set the characteristics of the actions behind the accidents within the context of the literature and the taxonomy of reasons for judgemental biases. Our results demonstrate how various biases, such as theory-induced blindness, optimistic bias, and substitution bias misled maintenance technicians and eventually become the main cause of a catastrophe. We also find these biases are interrelated, with one causing another to develop. We discuss how these judgemental errors could relate to loss of situation awareness, and suggest interventions to mitigate them.

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Human Factors Analysis of Naval Transport Aircraft Maintenance and Flight Line Related Incidents

Cited by 2 publications

References 5 publications

Human error in maintenance: A case study from China

Human error in maintenance: A case study from China

Judgemental errors in aviation maintenance

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