Abstract
Optimization and profitability approaches play a crucial and central role in airline industry The main problem is how to overcome complexity by providing effective route schedule with minimal empty seats. So we need capable tools to re-optimize existing flight routes or to offer new one instead. This research deals about the efficient heuristic algorithm for optimal transportation of N different passenger contingents between ending points. We want to find out better transport plan with minimal transport cost for the route with more charging/discharging points (airports). Such optimization tool can help in sizing of appropriate airplane for definite direction, too.
Highlights
Airlines companies have a big responsibility to satisfy people’s needs and in the end to gain profit
We want to find out better transport plan with minimal transport cost for the route with more charging/discharging points. Such optimization tool can help in sizing of appropriate airplane for definite direction, too
Model for fleet routes is based on the multiple commodity network flow problem (MCNFP) introduce in paper of Yan and Tseng [12]
Summary
Airlines companies have a big responsibility to satisfy people’s needs and in the end to gain profit. Today air transport industry is influenced indirectly by the economic recession, increase of fuel cost, stiff competition and political instability. The major change in trends of air transport development is to increase operating efficiency, productivity and profitability, so more and more routes with multiple stops (landings) are introduced. The scheduling of multi-stop flight routes is the crucial elements, especially in definition of the available airplanes, the airport slots, the airplane rental charges, airport service costs and other cost elements
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