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Analysis of Customer’s Impatience in Single Server Markovian Queuing Model

Gyandeep Sharma, Pallabi Medhi

Abstract



This paper aims to develop a model for a single server queue with Markovian features that accounts for customer impatience. We use the rate in rate out principle and the Markov process method to find the steady state probabilities. We obtain closed form expressions for both conventional and newly proposed measures. To illustrate the practical application of our results, a numerical example is provided. Sensitivity analysis using numerical
techniques is conducted to explore how different performance measures change with variations in system parameters. Additionally, we perform cost analysis to examine how balking and reneging influence the expected profit using parabolic optimization technique. This research helps us to comprehend how impatience affects queue systems and offers useful guidance for optimizing their performance and cost.

Keywords


state dependent balking, reneging, Markovian, parabolic optimization.

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