Human factors in aviation maintenance: Phase 1: Progress report.

Shepherd, William T.

doi:10.1037/e430892004-001

Cited by 8 publications

(2 citation statements)

References 46 publications

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“…Human factors have been a topic of interest for decades in aviation, but most studies focused on pilot error and cockpit interfaces (Gramopadhye and Drury, 2000) It was not until the Aloha Airlines Flight 243 incident over Hawaii (National Transportation Safety Board, 1989) that the importance of human factors in maintenance was considered relevant in aviation safety. Shortly after, the Federal Aviation Administration FAA started the National Plan for Aviation Human Factors (Shepherd et al, 1991) to establish ground level knowledge on factors affecting maintenance performance: documents, procedures and training, work environment, ergonomics and individual factors such as fatigue, qualifications and skills. From that point onward extensive research in the maintenance field has been done on errors originating from human factors.…”

Section: Human Factors In Aircraft Maintenancementioning

confidence: 99%

Contextualising aircraft maintenance documentation

Koornneef

Verhagen

Curran

2017

IJASM

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Biographical notes: Hemmo Koornneef obtained his MSc at the Delft University of Technology and currently works there on obtaining his PhD at the section of Air Transport and Operations. His research focuses on aircraft maintenance operations, in particular improving efficiency of line maintenance operations by developing knowledge-based (mobile) tools to aid technicians in task execution and decision making. AbstractThe use of documentation for task support in aircraft line maintenance is still mostly paperbased, which is slow, burdensome and prone to error. This paper provides an overview of the issues associated with the use of paper-based documentation in aircraft maintenance and describes the development of a novel concept for contextualized documentation to address these issues. The developed system features ontology-based data access (OBDA) for improved contextualization and additional flexibility for future integration of other data sources. The ontology is developed in Protégé. The maintenance documents are accessed through the FileTable feature of Microsoft's SQL Server and is linked to the ontology using Ontop. By inferencing the aircraft manufacturer and family are derived from the registration mark and used as attributes for a Boolean search in the maintenance documentation database.The OBDA system is able to retrieve relevant documents approximately twice as fast as existing relational database systems and provides support for a wide variety of file types. Limitations of the developed system are software vendor dependency, compatibility issues between integrated software solutions and lack of support for automatic mappings. Nevertheless, the developed system provides a proof of concept for a mobile tool to overcome the weaknesses of maintenance documentation in line maintenance, working towards increased operational efficiency, reduction of human factor induced maintenance errors and reduced paper consumption.

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Section: Human Factors In Aircraft Maintenancementioning

confidence: 99%

Contextualising aircraft maintenance documentation

Koornneef

Verhagen

Curran

2017

IJASM

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“…A sound aircraft inspection and maintenance system plays an important role in providing continuing safe and reliable air transportation service for the public (1,2). Among all the inspection techniques in this system, visual inspection is the single most frequently used one (3).…”

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confidence: 99%

Human Reliability Analysis for Visual Inspection in Aviation Maintenance by a Bayesian Network Approach

Chen

Huang

2014

Transportation Research Record: Journal of the Transportation R

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Visual inspection plays an important role in aviation maintenance. Human reliability analysis (HRA) in this field is necessary and can bring benefits to better human error management. Because of the lack of safety data, the present paper aims to introduce the Bayesian network (BN) approach to perform HRA in visual inspection, which permits the utilization of multi-disciplinary sources of objective and subjective information. In this paper, significant influence factors of visual inspection are identified according to the Human Factors Analysis and Classification System–Maintenance Extension. Then a network representing the visual inspection performance model is constructed. Expert opinions, data fusion from accident reports, and related literature are utilized in the step of obtaining parameters. Two canonical models used in probabilistic network model building, the Noisy-OR gates and the Recursive Noisy-OR rule, are applied to generate conditional probabilities from parameters obtained by the absolute probability judgment technique. Through the BN inference, the inspection reliability can be assessed, and some conclusions and recommendations are drawn that could provide theoretical base and data support to make interventions for safety management of visual inspection.

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