Ismailkhan Enayathulla Khan, Rajendran Paramasivam
{"title":"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","authors":"Ismailkhan Enayathulla Khan, Rajendran Paramasivam","doi":"10.37256/cm.4420232964","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":29767,"journal":{"name":"Contemporary Mathematics","volume":"11 5","pages":"0"},"PeriodicalIF":0.6000,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Markovian Erlang Non-Constricted Single-Channel with Encouraged Arrival in Steady State with Balking, Feedback Strategy, and Customer Retention\",\"authors\":\"Ismailkhan Enayathulla Khan, Rajendran Paramasivam\",\"doi\":\"10.37256/cm.4420232964\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":29767,\"journal\":{\"name\":\"Contemporary Mathematics\",\"volume\":\"11 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Contemporary Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37256/cm.4420232964\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATHEMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Contemporary Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37256/cm.4420232964","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS","Score":null,"Total":0}
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.