Unreliable Single Server Double Orbit Retrial Queue with Balking
The single unreliable server double orbit Markovian retrial queue with customers’ balking behavior has been investigated. The arriving customers may not wish to proceed for the service when the system seems overcrowded. On joining the system, if the server is busy then customers are forced to join o...
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Published in | Proceedings of the National Academy of Sciences, India, Section A, physical sciences Vol. 91; no. 2; pp. 257 - 268 |
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Main Authors | , |
Format | Journal Article Conference Proceeding |
Language | English |
Published |
New Delhi
Springer India
01.06.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0369-8203 2250-1762 |
DOI | 10.1007/s40010-020-00725-6 |
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Abstract | The single unreliable server double orbit Markovian retrial queue with customers’ balking behavior has been investigated. The arriving customers may not wish to proceed for the service when the system seems overcrowded. On joining the system, if the server is busy then customers are forced to join ordinary orbit or executive orbit as per their demand. It is assumed that the server is unreliable and subject to breakdown and repair. For the steady-state analysis of the system, Chapman–Kolmogorov steady-state equations are framed and then solved by using probability generating function. Furthermore, various performance metrics are derived explicitly. An illustration is taken to analyze the effects of the system parameters on the performance metrics. ANFIS technique is implemented to authenticate the steady-state results. Further, a nonlinear cost function is also formulated which is then minimized by using the quasi-Newton method. |
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AbstractList | The single unreliable server double orbit Markovian retrial queue with customers’ balking behavior has been investigated. The arriving customers may not wish to proceed for the service when the system seems overcrowded. On joining the system, if the server is busy then customers are forced to join ordinary orbit or executive orbit as per their demand. It is assumed that the server is unreliable and subject to breakdown and repair. For the steady-state analysis of the system, Chapman–Kolmogorov steady-state equations are framed and then solved by using probability generating function. Furthermore, various performance metrics are derived explicitly. An illustration is taken to analyze the effects of the system parameters on the performance metrics. ANFIS technique is implemented to authenticate the steady-state results. Further, a nonlinear cost function is also formulated which is then minimized by using the quasi-Newton method. |
Author | Sanga, Sudeep Singh Jain, Madhu |
Author_xml | – sequence: 1 givenname: Madhu surname: Jain fullname: Jain, Madhu organization: Department of Mathematics, Indian Institute of Technology Roorkee – sequence: 2 givenname: Sudeep Singh orcidid: 0000-0002-0073-6814 surname: Sanga fullname: Sanga, Sudeep Singh email: ssanga@ma.iitr.ac.in organization: Department of Applied Sciences, Division of Mathematics, National Institute of Technology |
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Cites_doi | 10.1109/21.256541 10.1007/s10479-015-2059-2 10.5209/rev_REMA.2002.v15.n1.16950 10.1007/s40009-017-0573-2 10.1016/j.apm.2017.10.025 10.1007/s10479-014-1765-5 10.1016/j.ejor.2018.03.002 10.1002/9781118625651 10.1080/16843703.2017.1320459 10.1016/j.amc.2019.124624 10.1007/978-981-10-3325-4_25 10.1520/JTE20180882 10.1016/j.amc.2019.06.056 10.1109/ICPEICES.2016.7853083 10.1007/s40819-018-0585-8 10.1016/j.amc.2014.12.066 10.3934/jimo.2019073 |
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Keywords | Unreliable server Balking, ANFIS Quasi-Newton method Infinite queue Double orbit |
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PublicationTitle | Proceedings of the National Academy of Sciences, India, Section A, physical sciences |
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References | Jain, Sanga (CR3) 2017; 40 Dimitriou (CR13) 2016; 238 Jain, Bhagat, Shekhar (CR16) 2015; 253 Artalejo, Falin (CR1) 2002; 15 CR2 Chang, Liu, Ke (CR12) 2018; 55 CR5 Sanga, Jain (CR9) 2019; 363 Jang (CR18) 1993; 23 Dimitriou (CR14) 2018; 270 Jain, Sanga (CR10) 2019; 5 CR11 Yang, Kim, Park, Lim (CR6) 2016; 35 Jain, Sanga (CR4) 2020; 16 Gross, Shortle, Thompson, Harris (CR17) 2008 Arivudainambi, Godhandaraman (CR8) 2015; 229 Sanga, Jain (CR15) 2019; 362 Chang, Wang (CR7) 2018; 15 725_CR5 D Gross (725_CR17) 2008 J Artalejo (725_CR1) 2002; 15 FM Chang (725_CR12) 2018; 55 I Dimitriou (725_CR13) 2016; 238 M Jain (725_CR3) 2017; 40 M Jain (725_CR16) 2015; 253 SS Sanga (725_CR9) 2019; 363 D Arivudainambi (725_CR8) 2015; 229 I Dimitriou (725_CR14) 2018; 270 SS Sanga (725_CR15) 2019; 362 W-S Yang (725_CR6) 2016; 35 J Chang (725_CR7) 2018; 15 725_CR11 M Jain (725_CR4) 2020; 16 J-SR Jang (725_CR18) 1993; 23 725_CR2 M Jain (725_CR10) 2019; 5 |
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SubjectTerms | Applied and Technical Physics Atomic Business metrics Cost function Customers Equations of state Molecular Optical and Plasma Physics Performance measurement Physics Physics and Astronomy Quantum Physics Quasi Newton methods Queues Research Article Steady state |
Title | Unreliable Single Server Double Orbit Retrial Queue with Balking |
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