عنوان مقاله [English]
Many models have been proposed to develop airline companies and to schedule their flight lines. To develop these models, various approaches, such as mathematical planning, descriptive and heuristic methods, and a simulation approach, have been applied, with respect to the queuing theory. In this paper, using the queuing theory approach, a model of the queue simulation system has been presented to determine the capacity of airline companies. The model has been developed using SLAM software and it has been used to analyze an airline company. The results gained have been compared with those of Jacksons open network model, thus, the efficiency and validity of the model have been confirmed. Using the results of this model, the percentage of
time the station is busy, the average number of passengers on the waiting list and the average time the passengers spend on the waiting list can be calculated.
In comparison with the results gained from simulation by SLAM software, it is observed that the results of the proposed model and those of the open network of Jackson are very close to each other. The reason for the minor difference is in the number of simulation runs. As this number becomes higher, the Jackson model will have less difference with simulation.
The modeling of capacity determination is the process of forecasting the measure of effectiveness, the volume of cargo in a system, and, also, designing an optimal method to perform this process. Capacity designing is a kind of process for forecasting the saturation time as much as possible and applying the most economical way for postponing congestion in the system. The process should include the capacity of the volume of work resulting from present and new plans and desirable service levels. Our goal is forecasting the response time for a situation in which many passengers have been requested simultaneously.
In this paper, research has been done on the basis of a real and practical case, which is the agent of an airline company for selling tickets, and the results have been generalized to determine capacity using techniques of queuing and simulation models. This has facilitated reaching the goal. The information that is necessary to determine capacity in airline companies is divided into two internal and external environmental factors .
The procedure used in this paper is based on regular and common methods of research, in such a way that, after achieving the goals and for warming up, a review of the background is given first. To consider and describe the queuing system, a travel agency, called Serat, has been selected as the case study. The process of system stages is then introduced and an analysis of it is given. Considering simplifying assumptions, a general queuing model of this agency is