马尔可夫-厄朗非约束单通道与阻碍、反馈策略和客户保留的鼓励到达稳态

IF 0.6 Q3 MATHEMATICS Contemporary Mathematics Pub Date : 2023-10-25 DOI:10.37256/cm.4420232964
Ismailkhan Enayathulla Khan, Rajendran Paramasivam
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引用次数: 0

摘要

在本文中,我们的目标是为马尔可夫Erlang非约束队列提供一个解决方案,该解决方案考虑了鼓励到达、阻碍反馈策略和客户保留,所有这些都处于稳定状态。我们的方法涉及使用迭代技术来确定“n”个客户在系统占用阶段“s”中的概率,空系统的概率以及排队系统的效率。为了说明概率和这些附加概念之间的关系,我们提供了数值数据。
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Markovian Erlang Non-Constricted Single-Channel with Encouraged Arrival in Steady State with Balking, Feedback Strategy, and Customer Retention
In this article, we aim to provide a solution for the Markovian Erlang non-constricted queue that takes into account encouraged arrival, balking feedback strategy, and customer retention, all in a steady state. Our approach involved using an iterative technique to determine the probability of “n” customers in the system occupying stage “s”, the probability of an empty system, and the efficiency of the queuing system. To illustrate the relationship between probability and these additional concepts, we present numerical data.
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CiteScore
0.60
自引率
33.30%
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