Abstract

The major change in trends of air transport development is to increase operating efficiency, productivity and profitability. Airline companies (air operators or carriers) can ensure significant fuel savings and better utilization of airplanes capacity. So they need better transport planning tool for costs minimization on a voyage route with multiple loading/unloading airports (multi-stop routes).The existing routes can be re-optimized (improved) or alternative routes can be offered instead. In this research the efficient heuristic algorithm for optimal transportation of N different loads (e.g. passenger contingent) for the airplane with limited capacity is being developed. The main goal of algorithm is to reduce the idle capacity on the route, to decrease expenses and to increase revenue. Through many test examples we can see that such approach functions very good and calculation complexity is under control.

Highlights

  • Today air transport industry is influenced indirectly by the economic recession, increase of fuel cost, stiff competition and political instability

  • Optimizing the existing flight routes or introducing the new one is the crucial part of strategic planning in airline industry

  • The transportation problem is extended to capacity management problem of different passenger contingents transported by one airplane on the route with multiple loadings points and multiple unloading points

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Summary

Introduction

Today air transport industry is influenced indirectly by the economic recession, increase of fuel cost, stiff competition and political instability. Efficient transfer of passengers between airports is very demanding problem for the carrier (operator) Such problem exists for any direction and for any contingent. Switching to multi-stop routes could be attractive to passengers only if it ensures significantly lower transport prices (ticket discounts) or in exceptional cases when alternative does not exist. Introduction of multi-stop routes is in firm correlation to the flight efficiency of each airplane and whole carrier fleet It could be the key for better capacity utilization and transport cost reduction. The special case is the point-to-point route where passengers can load the whole airplane without empty seats In such strategic planning, we are looking for the set of airports on the route that can ensure the best profit to carrier (operator), in the first case the reduction of transport cost per passenger. If we increase flight tickets for some directions e.g. for con-

Airports on the route
Previous Work
Mathematical Model
Algorithm Development
Objective
Results of Trivial Approach
Algorithm Limitations and Possible Improvement
Conclusions
Full Text
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