Rajadurai Pakkirisamy

Dr. Rajadurai Pakkirisamy

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2018 in Alexandria Engineering Journal
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Journal Article
Open access
RPRajadurai Pakkirisamy
Rajadurai Pakkirisamy
MSM.C. Saravanarajan
M.C. Saravanarajan
VCV.M. Chandrasekaran
V.M. Chandrasekaran

2 August 2013 in OPSEARCH
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Journal Article
Closed access
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ADArivudainambi Deivasigamani
Arivudainambi Deivasigamani
PGP. Godhandaraman
P. Godhandaraman
RPRajadurai Pakkirisamy
Rajadurai Pakkirisamy

21 March 2019 in Symmetry
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Journal Article
Open access
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SASherif Ammar
Sherif Ammar
RPRajadurai Pakkirisamy
Rajadurai Pakkirisamy
In this investigation, a novel sort of retrial queueing system with working breakdown services is introduced. Two distinct kinds of customers are considered, which are priority and ordinary customers. The normal busy server may become inadequate due to catastrophes at any time which cause the major server to fail. At a failure moment, the major server is sent to be fixed and the server functions at a lower speed (called the working breakdown period) during the repair period. The probability generating functions (PGF) of the system size is found using the concepts of the supplementary variable technique (SVT). The impact of parameters in system performance measures and cost optimization are examined numerically.

1 December 2018 in Ain Shams Engineering Journal
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Journal Article
Open access
RPRajadurai Pakkirisamy
Rajadurai Pakkirisamy
VCV.M. Chandrasekaran
V.M. Chandrasekaran
MSM.C. Saravanarajan
M.C. Saravanarajan
In this paper, we consider a single server retrial queueing system with working vacations. Further vacation interruption is considering with the regular busy server is subjected to breakdown due to the arrival of negative customers. When the orbit becomes empty at the time of service completion for a positive customer, the server goes for a working vacation. The server works at a lower service rate during working vacation (WV) period. If there are customers in the system at the end of each vacation, the server becomes idle and ready for serving new arrivals with probability p (single WV) or it remains on vacation with probability q (multiple WVs). By using the supplementary variable technique, we found out the steady state probability generating function for the system and its orbit. System performance measures, reliability measures and stochastic decomposition law are discussed. Finally, some numerical examples and cost optimization analysis are presented

1 May 2024 in Ain Shams Engineering Journal
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Journal Article
Open access
ALAnthony Limi
Anthony Limi
KRK. Rangarajan
K. Rangarajan
RPRajadurai Pakkirisamy
Rajadurai Pakkirisamy
AAA. Akilbasha
A. Akilbasha
KPK. Parameswari
K. Parameswari