This paper contains the analysis of Queuing systems for data of sales check out operation at a busy mall as an example. Queuing theory is a most important area of applied mathematics which pacts with observable fact of waiting and take place from the employ of potent mathematical study to explain busy mall sales and this work provides signifies the data in the form of queueing models to evaluate the performance measures. The paper describes a queuing simulation for a multiple server process as well as for single queue models. This study requires an empirical data which may include the variables like, arrival time in the queue of checkout operating unit , departure time, service time, etc More over study of future behavior of the busy mall, using monte carlo simulation method to reduce minimum waiting time of the customers and length of the queues for M/M/1 and M/M/C so that to provide better service to the customers in the busy mall.

Queue model, multi channels queuing models (M/M/C), probability distributions, average waiting time, average queue length

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