Citation

Kraus J, Lališ A, Plos V, Vittek P, Stojić S. Transp. Res. Proc. 2018; 35: 35-43.

Copyright

(Copyright © 2018, Elsevier Publications)

DOI

10.1016/j.trpro.2018.12.005

PMID

unavailable

Abstract

This paper deals with utilization of ontologies and conceptual structural models for improving safety data management in civil aviation maintenance, repair and overhaul organizations. It provides an overview of existing safety data management and identifies its shortcomings. Current approach to safety data management is based on global standards and regional regulations, which stem from long-term experience but recent development of advanced technologies and the demand for their versatile application creates new potential for further improvements of aviation safety. One of the technologies which have strong potential for application in aviation are ontologies and conceptual models. Ontologies deal with philosophy-motivated description of reality and conceptual models are ontology and object-oriented tools for building concrete description, the so-called conceptualization. Their value is recognized especially with regard to data management, such as data collection and processing. This is of extreme importance in modern knowledge management systems, such as safety management system, to optimize control mechanisms or to support research and development activities, which are highly sensitive to data quality, such as Safety-II concept. This paper explores the capabilities of the models with regard to current state-of-the-art in aviation maintenance and identifies strong points for domain application. Subsequently, framework for the technology deployment to the industry is outlined. Due to the non-existence of safety management requirements for aviation maintenance organizations and with regard to the current development of aviation safety in other aviation organization types, there exists strong willingness for such framework application and, according to the analysis performed, it represents one of the desired solutions for aviation industry.

Language: en

Keywords

conceptual models; maintenance organisation; ontology; safety management