The document summarizes an optimization program that airlines can use to determine the right freight capacity, operating frequency, and fleet positioning to minimize costs and maximize profits. The program takes in data on routes, yields, demands, and costs. It then runs integer programming models and U-curve techniques to find the optimum solution. A case study on Yemenia airline shows how the program can determine the best aircraft types for its network and maximize profits on a multi-stop route from Sana'a to Singapore.
7. Operating Cost per ATK per Airlines SQ BR GA MU CX UA CZ VN NH BA CO DL QF MH JL BI KE CA IB AF LH OZ AA EK Average Stage Length, Km NW Source : Company Reports, IATA, AAPA estimates
8. Passenger – Cargo IOC Components Source : Air Cargo Operations Cost Data Base - NASA
9. Cost per ASM for Aircrafts Source : Bhadra, Aircraft Choice Model
25. Program Input Data ATK 1 , ATK 2 , ATK 3 …ATK n (A/C) ? Integer Program U Curve Tech Optimum Solution Curve Run the Program with step function Developing Optimum Solution Curve Result Position the Fleet
35. Summary The Right Capacity : The Program runs two times Depending on inputs and constrains used. At the first run it gives the Right Capacity and at the second run it gives Optimum Frequency. The results will clearly show how efficient existing fleets are compared to the ideal results. Route Profitability : Given the results of the above analysis, it shows the best scenario that maximize the profits and the perfect ratio of load factor in Multi stop routes.
36. Contact Further Information: Mohammed Salem Awad : Tel: 00967 734777518 Email: smartdecision2002@yahoo.com www.freewebs.com/wingsofwisdom/ www.freewebs.com /art-of-knowledge/ www.standout-from-the-crowds.webs.com