MX/G/1 Vacation Queueing System with two Types of Repair Facilities and Server Timeout
V.N. Rama Devi1, Y. Saritha2, K. Chandan3

1V.N. Rama Devi, Associate Professor, Department of Mathematics, GRIET, Hyderabad, Telangana, India.
2Y. Saritha, Research Scholar, Department of Statistics, Acharya Nagarjuna University, Guntur, AP, India.
3K. Chandan, Professor, Department of Statistics, Acharya Nagarjuna University, Guntur, AP, India.

Manuscript received on 19 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 2040-2043 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8738078919/19©BEIESP | DOI: 10.35940/ijitee.I8738.078919

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: We consider a single server vacation queue with two types of repair facilities and server timeout. Here customers are in compound Poisson arrivals with general service time and the lifetime of the server follows an exponential distribution. The server find if the system is empty, then he will wait until the time ‘c’. At this time if no one customer arrives into the system, then the server takes vacation otherwise the server commence the service to the arrived customers exhaustively. If the system had broken down immediately, it is sent for repair. Here server failure can be rectified in two case types of repair facilities, case1, as failure happens during customer being served willstays in service facility with a probability of 1-q to complete the remaining service and in case2 it opts for new service also who joins in the head of the queue with probability q. Obtained an expression for the expected system length for different batch size distribution and also numerical results are shown.
Keywords: Expected System Length, Server Timeout, Two Types of Repair Facilities and. Vacation Queue.

Scope of the Article: Bio – Science and Bio – Technology