A fuzzy Model for Evaluating Airport Security Screeners' Work
PBN-AR
Instytucja
Wydział Transportu (Politechnika Warszawska)
Informacje podstawowe
Główny język publikacji
en
Czasopismo
Journal of Air Transport Management
ISSN
0969-6997
EISSN
Wydawca
DOI
URL
Rok publikacji
2015
Numer zeszytu
Strony od-do
42-51
Numer tomu
48
Liczba arkuszy
0.5
Autorzy
(liczba autorów: 2)
Słowa kluczowe
en
human factors, fuzzy inference system, air transport security, security screening, airport
Streszczenia
Język
en
Treść
A baggage screening system is one of the factors that determine air transport security. It prevents objects and materials that could be used to commit an act of unlawful interference from being placed on board an aircraft. The aim of this paper was to present a model and a computer system supporting the management of a security screening checkpoint’s organisation at an airport. This model was to take into account the role of the human factor in this process, in particular of many subjective factors that influence the effectiveness of an airport security system, such as an employee’s experience, level of training or attitude to the work he/she does. The studied process involves numerous dependencies which are intuitive and subjective in character and which cannot be unequivocally described. Therefore, a fuzzy model and a fuzzy inference system were created because they are suitable for analysing decision-making processes in the context of uncertainty. The model was parameterized based on expert assessments as well as measurements and experiments that had been carried out at the Katowice-Pyrzowice airport. The model and the computer system that have been developed make it possible to evaluate the effectiveness of airport security screeners in de-tecting prohibited items in baggage. The experiments made it possible to evaluate individual employees and groups of employees working during the same shift. The tools that had been obtained allowed us to make a recommendation that comprehensive training sessions should be organised every 12 months and ongo-ing training sessions should be held every 6 months.
Inne
System-identifier
WUTa72e19bd1f014e69abb5d723e61f0c5a
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