{"title":"具有假期和可控到达率的 M/M/1/K 损失与延迟相互依存队列模型","authors":"S. P. Subhapriya, M. Thiagarajan","doi":"10.17485/ijst/v17i6.1691","DOIUrl":null,"url":null,"abstract":"Objectives: In this study, we assume that the vacation is taken while there are no consumers in the queue. There are several servicemen who will take the synchronous multiple vacations in the system. Methods: Assumed some loss and delay in consumers (Elective and emergency) and solve the steady-state probability equations using recursive approach and acquired some obvious iterative expressions. Findings: Carried out some numerical analysis using MATLAB and investigated the movement of , , and through graph. Further, , , and increase when increases; decrease when M increases. Additionally, when L increases remains constant and increase. Novelty: Expanded the preceding models in this study by including vacations and performing the numerical analysis. Using vacation with controllable arrival rates in an optimal way in order to benefit both the server and the customer will minimise waiting time and provide the most feasible, affordable service to the consumer. Keywords: Markovian Queueing System, Vacation, Loss and Delay, Finite Capacity, Interdependent Arrival and Service Rates, Varying Arrival Rates, Bivariate Poisson Process","PeriodicalId":508200,"journal":{"name":"Indian Journal Of Science And Technology","volume":"9 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"M/M/1/K Loss and Delay Interdependent Queueing Model with Vacation and Controllable Arrival Rates\",\"authors\":\"S. P. Subhapriya, M. Thiagarajan\",\"doi\":\"10.17485/ijst/v17i6.1691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives: In this study, we assume that the vacation is taken while there are no consumers in the queue. There are several servicemen who will take the synchronous multiple vacations in the system. Methods: Assumed some loss and delay in consumers (Elective and emergency) and solve the steady-state probability equations using recursive approach and acquired some obvious iterative expressions. Findings: Carried out some numerical analysis using MATLAB and investigated the movement of , , and through graph. Further, , , and increase when increases; decrease when M increases. Additionally, when L increases remains constant and increase. Novelty: Expanded the preceding models in this study by including vacations and performing the numerical analysis. Using vacation with controllable arrival rates in an optimal way in order to benefit both the server and the customer will minimise waiting time and provide the most feasible, affordable service to the consumer. Keywords: Markovian Queueing System, Vacation, Loss and Delay, Finite Capacity, Interdependent Arrival and Service Rates, Varying Arrival Rates, Bivariate Poisson Process\",\"PeriodicalId\":508200,\"journal\":{\"name\":\"Indian Journal Of Science And Technology\",\"volume\":\"9 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal Of Science And Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17485/ijst/v17i6.1691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal Of Science And Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17485/ijst/v17i6.1691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
研究目的在本研究中,我们假设休假是在队列中没有消费者的情况下进行的。系统中会有多个服务人员同步多次休假。研究方法假设消费者(选择性和紧急性)存在一定的损失和延迟,使用递归方法求解稳态概率方程,并获得一些明显的迭代表达式。结果使用 MATLAB 进行了一些数值分析,并通过图形研究了 、 、 和 的变化。此外,当 M 增加时, 、 、 和 增加;当 M 增加时,M 减少。此外,当 L 增加时,保持不变,并增加。新颖性:本研究扩展了之前的模型,加入了假期并进行了数值分析。以最佳方式利用可控到达率的假期,使服务器和客户都受益,从而最大限度地减少等待时间,为消费者提供最可行、最实惠的服务。关键词马尔可夫排队系统、假期、损失和延迟、有限容量、相互依赖的到达率和服务率、变化的到达率、双变量泊松过程
M/M/1/K Loss and Delay Interdependent Queueing Model with Vacation and Controllable Arrival Rates
Objectives: In this study, we assume that the vacation is taken while there are no consumers in the queue. There are several servicemen who will take the synchronous multiple vacations in the system. Methods: Assumed some loss and delay in consumers (Elective and emergency) and solve the steady-state probability equations using recursive approach and acquired some obvious iterative expressions. Findings: Carried out some numerical analysis using MATLAB and investigated the movement of , , and through graph. Further, , , and increase when increases; decrease when M increases. Additionally, when L increases remains constant and increase. Novelty: Expanded the preceding models in this study by including vacations and performing the numerical analysis. Using vacation with controllable arrival rates in an optimal way in order to benefit both the server and the customer will minimise waiting time and provide the most feasible, affordable service to the consumer. Keywords: Markovian Queueing System, Vacation, Loss and Delay, Finite Capacity, Interdependent Arrival and Service Rates, Varying Arrival Rates, Bivariate Poisson Process