Abstract Proceedings of IESMDT - 2021
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QUEUING THEORY IN STOCHASTIC PROCESS
In queuing theory is to formulate the system in such a manner that the average waiting time of the customers in minimized and the utilization of the server is maximized. In this chapter, we discuss a number of queuing models that account for a variety of service operations. The measures of performance of the system are derived. The models derived are the applications of the probability theory and stochastic process.The Queuing models are very helpful for determining how to operate a queuing system in the most effective way if too much service capacity to operate the system involves excessive costs. The models enable finding an appropriate balance between the cost of service and the amount of waiting.
Queuing theory, Stochastic Process
17/09/2021
95
IESMDT93
IMPORTANT DAYS
Paper Submission Last Date
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025