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The use of multiple stages of service queuing models In the analysis of passenger service in Sulaymaniyah International Airport | ||
| Al Kut Journal of Economics Administrative Sciences | ||
| Article 1, Volume 0, Issue 16, 2018, Pages 111-128 | ||
| Abstract | ||
| Abstract This research included the use of Queuing Theory in order to solve the problems of the Sulaimaniyah International Airport in terms of waiting passengers in the stages of the service, it was shown that there are stages of a multi-service, multi-stations of waiting time, so the choice of a simple model with one service channel does not represent the reality of the service at the airport,in order to give the successful solutions to the problem of waiting at the airport it must be used a model that fits with the reality of the system, so queuing model was selected as a multi-phased Service and was: (M/M/C) as more suitable for multi-service at the airport in Sulaimaniya, and these stages (inspection leakages, travel ticket, stamp the passport, the passport checking). This is the most prominent stages of the main stages of the customers at the airport in Sulaimaniya as where queue. It has been computed the arrival time and customer service time at each stage of the service at the airport and then obtain the access rate and the rate of service for each phase and also to find the appropriate distribution of these data calculated at the airport, and to find measures of performance of the model (Ls, Lq, Ws, Wq) , for all phases of work and then a comparison between the original service stations and a new station can be added for each stage. It was found when adding a new station that there is some effect on the waiting that reduces the number of customers waiting in the system. The access data and the service data were analyzed by using )Win QSB) and then obtaining the desired results, and the access and service for each phase are variables so, the distribution was changed according to data. The discrete distribution was used (Geometric distribution) and continuous distributions is used to distribute and (Pareto distribution) and (weibull distribution). | ||
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