There is an ever changing and never ending dynamics of factors that contribute towards effective management of airline operations disruption and recovery. Mathematicians, business analysts and operations research experts around the world have been working hard for years to find appropriate recovery solutions for disruptions in airline operations, but the holy grail of optimal recovery remains elusive.
An ideal solution would be one that is designed to help the operational controllers in making decisions during severe disruptions, and considers all the relevant recovery factors such as aircraft, crew, pax, costs, weather, regulations, ATC, fuel, airport and maintenance data.
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