Artificial Neural Network Modeling for Airline Disruption Management
Kolawole Ogunsina,
Wendy A. Okolo
Abstract:Since the 1970s, most airlines have incorporated computerized support for managing disruptions during flight schedule execution. However, existing platforms for airline disruption management (ADM) employ monolithic system design methods that rely on the creation of specific rules and requirements through explicit optimization routines, before a system that meets the specifications is designed. Thus, current platforms for ADM are unable to readily accommodate additional system complexities resulting from the in… Show more
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