دانلود رایگان مقاله راهبردی جهت تسریع زمان مسافرگیری هواپیما با واگذاری صندلی به صورت آنلاین

abstract

The minimization of the turnaround time, the duration which an aircraft must remain parked at the gate, is an important goal of airlines to increase their profitability. This work introduces a procedure to minimize of the turnaround time by speeding up the boarding time in passenger aircrafts. This is realized by allocating the seat numbers adaptively to passengers when they pass the boarding gate and not before. Using optical sensors, an agility measure is assigned to each person and also a measure to characterize the size of her/his hand-luggage. Based on these two values per passenger and taking into account additional constraints, like reserved seats and the belonging to a group, a novel seat allocation algorithm is introduced to minimize the boarding time. Extensive simulations show that a mean reduction of the boarding time with approximately 15% is achieved compared to existing boarding strategies. The costs of introducing the proposed procedure are negligible, while the savings of reducing the turnaround time are enormous, considering that the costs generated by inactive planes on an airport are estimated to be about 30 $ per minute.

4. Conclusions

In this paper, a novel strategy for speeding up the boarding into an airplane has been presented. The proposed approach contributes to the minimization of the turnaround time which turns into a significant cost saving.Firstly, the reported work has been compared with others in this field, such as Steffen (2008); Milne and Kelly (2014), and it has been found out that none of the considered boarding strategies has imposed itself as the best. The work in this paper extended Steffen method, which has been demonstrated to be among the fastest ones. The extension makes it both faster and feasible for practical implementation. Using simulations, it has been showed that by assigning passengers seats based on the amount of luggage they carry and their agility the boarding time can be drastically reduced. And, by taking into account reserved seats and passenger groups the presented approach is also attractive for airlines. The proposed method makes use of cameras and shape recognition algorithms to estimate passenger agility and hand-luggage dimensions.