Airlines Scheduling under Consideration, Operational constraints

Subject Areas : مدیریت

Shokoh Kheradmand ¹ , Mohamad Mohamadi ² , Bahman Naderi ³

1 - M.Sc. Student, Department of Industrial Engineering, Kharazmi University, Tehran, Iran
2 - Associate Professor, Department of Industrial Engineering, Kharazmi University, Tehran, Iran
3 - Assistant Professor, Department of Industrial Engineering, Kharazmi University, Tehran, Iran

Received: 2017-06-19 Accepted : 2017-06-19 Published : 2017-03-21

Keywords: Aviation Industry, Routing, Crew Scheduling, Lost Sales, Meta-heuristics,

Abstract :

From the past to the present due to the high costs of the aviation industry and planes, planning fir this particular industry has been furnished with a great deal of significance and attention.one of the issues concerning aviation industry, is navigation and the number of planes required in each flight schedule. These issues include a significant part of the aviation industry costs. On the other hand, based on a series of restrictions and rules made by Airline companies in the flight schedule for each plane, obtaining an efficient flight schedule for determining the number of required planes and minimizing the costs related to planes and decreasing costs arising from lost sales is of great importance. On the other hand , given NP-hard state of this issue , exact solution models in large sizes is not possible, therefore with the help of Meta-heuristics such as genetic and simulation annealing ,we have dealt with exact solution models in large sizes and have compared the obtained results and reached a total overall.