On impatience in Markovian M/M/1/N/DWV queue with vacation interruption

被引:11
|
作者
Bouchentouf, Amina Angelika [1 ]
Guendouzi, Abdelhak [2 ]
Majid, Shakir [3 ]
机构
[1] Djillali Liabes Univ Sidi Bel Abbes, Dept Math, BP 89, Sidi Bel Abbes 22000, Algeria
[2] Dr Moulay Tahar Univ Saida, Lab Stochast Models Stat & Applicat, BP 138, Ennasr 20000, Saida, Algeria
[3] Andhra Univ, Dept Appl Math, Visakhapatnam 530003, Andhra Pradesh, India
关键词
Bernoulli schedule vacation interruption; cost queuing model; differentiated working vacations; impatient customers; QFSM optimization; SINGLE WORKING VACATION; M/M/1; QUEUE; DIFFERENTIATED VACATIONS; CUSTOMERS IMPATIENCE; SENSITIVITY-ANALYSIS; SYSTEM SUBJECT; M/G/1; PERFORMANCE;
D O I
10.17535/crorr.2020.0003
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper, we establish a cost optimization analysis for an M/M/1/N queuing system with differentiated working vacations, Bernoulli schedule vacation interruption, balking and reneging. Once the system is empty, the server waits a random amount of time before he goes on working vacation during which service is provided with a lower rate. At the instant of the service achievement in the vacation period, if there are customers present in the system, the vacation is interrupted and the server returns to the regular busy period with probability beta' or continues the working vacation with probability 1 - beta'. Whenever the working vacation is ended, the server comes back to the normal busy period. If the system is empty, the server can take another working vacation of shorter duration. In addition, it is supposed that during both busy and working vacation periods, arriving customers may become impatient with individual timers exponentially distributed. Explicit expressions for the steady-state system size probabilities are derived using recursive technique. Further, interesting performance measures are explicitly obtained. Then, we construct a cost model in order to determine the optimal values of service rates, simultaneously, to minimize the total expected cost per unit time by using a quadratic fit search method (QFSM). Finally, numerical illustrations are added to validate the theoretical results.
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页码:21 / 37
页数:17
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