دانلود رایگان مقاله طراحی متقارن جفت استراتژی برای سوار شدن و پیاده شدن از هواپیما

abstract

Enplaning and deplaning processes are two main activities that passengers experience in an airplane. They are also the main factors contributing to the airplane turn time. Thus, both processes need to be carefully considered when designing a new strategy. The main contribution of this paper is twofold. Firstly, we propose a symmetrical design of deplaning strategies to match three typical grouped enplaning strategies (back-to-front, windows-to-aisle and reverse pyramid), in which the groups are organized in a LIFO (Last In First Out) manner. Secondly, we present an integrated cellular automaton model to describe the dynamic characteristics of passengers in the enplaning and deplaning processes. Numerical evaluation results indicate that the proposed windows-to-aisle and reverse pyramid strategies perform better in the following aspects: (i) the total operation time decreases; (ii) the two strategies are less sensitive to the load condition, e.g., luggage distribution and cabin occupancy rate; (iii) passengers’ satisfaction is enhanced since both individual waiting time and processing time lower down; (iv) the two strategies are fairer for the passengers since the difference among the groups remarkably shrinks.

5. Conclusions

In this paper, we have proposed an integrated simulation model to study the enplaning and deplaning process, which are two main contributions to the airplane turn time. Three matched strategypairs have been studied. It was shown that the proposed windows-to-aisle and reverse pyramid strategies perform better than the original strategies without deplaning strategy. Simulations show that the mean total operation time can be reduced by 3.28% and 2.88%, respectively, in the proposed P-WA and P-RP strategy. Suppose the current mean total operation time is 45 min, the proposed P-WA would enable an airline with 1000 flights per day to save 16 million dollars per year. Due to reduction of mean total time, it is easy to understand that both individual waiting and processing time decrease in the two strategies, which improves experience of passengers. Moreover, it has been shown that the two strategies are fairer for passengers in different groups since difference among the groups remarkably decreases.