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  • ThesisItemOpen Access
    A study on simulation techniques for queuing problems
    (CCSHAU, Hisar, 2022-12-07) Monika; Poonia, Hemant
    An important branch of Operations Research (OR) is Queuing Theory is also known as theory of waiting lines. The waiting time management plays a crucial role in today‟s competitive arena for optimizing the resources of an organization. The study on “A Study on Simulation Techniques for Queuing Problems” was planned to develop a Monte Carlo queuing model for assessment of queues and to analyze the waiting time in the warehouse. The arrival and service data for a season was gathered from a Warehouse in Tohana, Haryana. The model was used to analyze the queue characteristics like average arrival rate, average waiting time in queue, time spends in system and queue length or average number of conveyors in queue. It was found that the average number of arrivals was 2.6 conveyors/hr, number of customers waiting to be served in the queue were 14, the waiting time of the conveyors in the queue was 5.4 hrs and average time spends in the system was 5.8 hrs. The adequacy of developed model was tested using Little‟s law and it was found that the arrival rate obtained from the warehouse data is approximately same as the arrival rate achieved from the simulation.