Utvärdering av taxonomi och systemstöd för riskbaserad analys inom den svenska Luftfartsinspektionen

Sammanfattning: The Swedish Aviation Safety Authority has decided to standardise a classification system for reporting deviations found in inspections. The purpose of a classification system is that similar deviations always should be reported in the same way since this will enable better decisions regarding different risk areas. The inspectors are therefore constrained to use a standardised classification system and are not free to use their own words when reporting deviations. A hierarchal classification system with predefined phrases is in aviation referred to as taxonomy. Taxonomy is already in use when reporting accidents and incidents but not when reporting deviations found in inspections. If the taxonomy also could be implemented when reporting deviations found in inspections it would make it possible to find out what kind of accident or incident the deviation has been involved in. To make this connection possible and to enable further analyses the information has to be stored, preferably in a database. We have examined the already existing taxonomy and its usability in inspection reporting. Were the old taxonomy has been found insufficient we have examined how to build up a new suitable taxonomy. We have also begun the extension of the taxonomy in certain domains in aviation. To be able to test the extended taxonomy we have developed a system support that consists of a database and help functions consisting of checklists and linked regulation text. The system support also contains risk assessment matrixes. We have through this work seen that a great extension of the existing taxonomy is necessary. As the taxonomy is formed it is hard to make direct connections between accidents/incidents and deviations found in inspections without a mapping tool. However we think that a database management system should be implemented in inspections. A database management system would be a useful help for the inspectors and enable easier access to data for analyses.