| Autor: |
Ajeet Singh, Rajkumar Pant |
| Rok vydání: |
2007 |
| Předmět: |
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| Zdroj: |
7th AIAA ATIO Conf, 2nd CEIAT Int'l Conf on Innov and Integr in Aero Sciences,17th LTA Systems Tech Conf; followed by 2nd TEOS Forum. |
| DOI: |
10.2514/6.2007-7757 |
| Popis: |
This paper presents the details of a methodology for designing a demand responsive and flexible schedule for an airline, incorporating some of the operating constraints. To meet this requirement, a heuristic approach for route selection using Grey Theory was formulated, and integrated to an optimizer based on Genetic Algorithms, to generate the optimal and near-optimal schedules. The efficacy of this methodology is demonstrated by carrying out two case studies for a cargo airline with a fleet size of three identical aircraft. The results obtained for a network involving three airports are compared with those obtained by an extensive search method. The methodology is enhanced to allow satisfaction of demand on indirect routes, and results are presented for the same airline operating on a network of five airports. Some suggestions for removing the shortcomings of the methodology and improving it further are also provided. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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