An M/G/1 Retrial Queue with Unreliable Server Under Fuzzy Environment

Authors

  • S. Shanmugasundaram Department of Mathematics, Government Arts College, Salem
  • B. Venkatesh Department of Mathematics, Sona College of Technology, Salem

DOI:

https://doi.org/10.53555/ms.v2i4.235

Keywords:

Retrial queue, Breakdowns, Parametric Programming, Membership functions 2010 Mathematics Subject Classification: 60K25, 03E72

Abstract

An M/G/1 retrial queueing system with breakdowns have been studied in fuzzy environment. The arrival rate,retrial rate, service rate,failure rate and repair rate of server are all fuzzy numbers. For this model we obtain some system characteristics such as mean orbit size ,mean normal queue size and mean system size. The α cut approach is used to transform fuzzy queues with an unreliable server to a family of crisp retrial queues with unreliable server. By means of the membership functions of the system characteristics, a set of parametric nonlinear programme is developed to describe the family of crisp queues with an unreliable server.Numerical example is also illustrated to test the feasibility.

Downloads

Download data is not yet available.

References

Aissani.A, Artalejo J.R, on the single server retrial queue subject to breakdowns, Queueing Systems.30, 309-321,1998.

Kulkarni.V.G, B.D.Choi, Retrials queues with server subject to breakdowns and repairs,Queueing Systems,7(2), 191-208,1990.

Takacs.L, A single server queue with feedback, The Bell System Technical Journal, 42 ,505-519,1963.

Gross, D. and Haris, C.M Fundamentals of Queuing Theory, Wiley, New York,1998.

Nathan P.Sherman,Jeffrey P.Kharoufeh,An M/M/1 retrial queue with unreliable server, operations

Research Letters 34,697-705,2006.

Santhakumaran and Shanmugasundaram.S, A Single Server Retrial Queue in Bernoulli Schedule With Feedback on Non-Retrial Customers, Southeast Asian Bulletin of Mathematics 35, 305-317,2011

Santhakumaran and Shanmugasundaram.S, Preparatory work on Arrival Customers with a Single Server Feedback Queue,Information and Management Sciences 19 (2),301-313,2008.

Nathan P. Sherman, Jeffrey P.Kharoufeh, An M/G/1 Retrial Queue With Unreliable Server for Streaming Multimedia Applications, Probability in the Engineering and Informational Sciences, 23, 281-304,2009.

L.A Zadeh, ”Fuzzy sets as a Basis for a Theory of Possibility”,Fuzzy Sets and Systems, 1, 3-28,1978.

Li. R.J and Lee.E.S, Analysis of fuzzy queues, Computers and Mathematics with Applications 17 (7),1143 - 1147, 1989

Chiang Kao, Chang-Chung Li, Chen.S.P, Parametric nonlinear programming to analysis of fuzzy queues, Fuzzy Sets and Systems. 107,93-100,1999.

Timothy Rose , Fuzzy Logic and its applications to engineering, Wiley Eastern,Third Edition 2010

Chen.S.P, Parametric nonlinear programming approach to fuzzy queues with bulk service , European Journal Of Operational Research 163, 434-444,2005.

Negi. D.S. and Lee. E.S., Analysis and Simulation of Fuzzy Queue, Fuzzy sets and Systems 46, 321 -330,1992.

Buckely.J.J, Elementary queueing theory based on possibility theory, Fuzzy and Systems 37, 43 - 52,1990.

Chen. S.P, A mathematics programming approach to the machine interference problem with fuzzy

parameters, Applied Mathematics and Computation, 174,374 - 387,2006.

George J Klir and Bo Yuan, Fuzzy Sets and Fuzzy Logic ,Theory and Applications ,Prentice Hall P T

R upper saddle river , New Jersey,1995.

Kaufmann, A., Introduction to the Theory of Fuzzy Subsets, Vol. I, Academic Press, New York,1975.

Ke.J.C, Lin.C.H, Fuzzy analysis of queueing systems with an unreliable server:A nonlinear programming approach, Applied Mathematics and Computation, 175, 330-346,2006.

Zimmermann H.J, Fuzzy set theory and its applications , 2nd ed,Kluwer-Nijhoff, Boston,1991.

Shanmugasundaram.S, Venkatesh.B, Multi Server Fuzzy Queueing model using DSW algorithm , Global Journal of Pure and Applied Mathematics, 11 (1),45-51,2015.

Downloads

Published

2016-04-30

How to Cite

Shanmugasundaram, S., & Venkatesh, B. (2016). An M/G/1 Retrial Queue with Unreliable Server Under Fuzzy Environment. International Journal For Research In Mathematics And Statistics, 2(4), 01–08. https://doi.org/10.53555/ms.v2i4.235