A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights

Abstract

Despite the considerable efforts to alleviate problems of North Atlantic (NAT) air traffic and implementation of novel surveillance systems, oceanic errors still remain stubbornly high. The purpose of this study is to identify and examine the factors that contribute to navigation errors in the NAT Region by integrating a Fuzzy Analytic Hierarchy Process (FAHP) into the Human Factors Analysis and Classifying System (HFACS) framework for the first time to the best of our knowledge. According to the priority weights, the most important factors contributing to oceanic errors are lack of training provided by airlines, use of inappropriate routes for oceanic crossing by dispatchers, and failure to take preventive measures against oceanic errors. To mitigate the possibility of the aforementioned errors, pilots as individuals must increase their knowledge on cockpit procedures and airlines as organizations have to pay particular attention to training programs to implement appropriate preventive actions.