PERFORMANCE EVALUATION OF QUEUING SYSTEMS WITH BALKING, RENEGING, FEEDBACK, IMPATIENT CUSTOMERS AND DOWNED SERVERS
Keywords:
model $M/M/2/N$, balking, reneging, feedback.DOI:
https://doi.org/10.17654/0972086324011Abstract
The objective of this work is to evaluate the performance of $M/M/2/N$ (finite $N$) Markovian queuing systems with balking, reneging, feedback, impatient customers and downed servers in order to be able to measure and appreciate the quality of service offered to customers. Firstly we used the Chapman-Kolmogorov equation to obtain the system of equilibrium equations called balance system of equations, secondly, we used the recursive method to obtain the probabilities of the state of the system which we consider as probabilistic performance measures of the system, thirdly, we used system state probabilities to show that the number of customers in the system has a limit and that this limit is 2 when the rate of distribution of server repair times increases, fourthly, we used the method of the generating functions of the probabilities to obtain the average performance measures of the system and finally, we showed by a numerical illustration, the influence of the parameters of the failures on the probabilities of the state of the system and on the measures of average performance of the system.
Received: September 11, 2023
Accepted: November 10, 2023
References
B. Adia Leti Mawa, R. Mabela Makengo Matendo, J. P. Mukeba Kanyinda and B. Boluma Mangata, Analysis of the performance measures of a Non-Markovian fuzzy queue via fuzzy Laplace transforms method, Journal of Computing Research and Innovation 7(2) (2022), 304-315.
https://doi.org/1O.24191/jcrinn.v7i2.323.
Amina Angelika Bouchentouf and Aicha Messabihi, Heterogenous two servers queueing system with reverse balking and reneging, OPSEARCH 55(2) (2018), 251-267. https://doi.org/10.1007/s12597-017-O319-4.
Amina Angelika BOUCHENTOUF, Mokhtar Kadi and Abbes RABHI, Analysis of two heterogeneous server queueing model with balking, reneging and feedback, Mathematical Sciences and Applications E-Notes 2(2) (2013), 10-21. https://doi.org/10.36753/mathenot.421428.
Jean Alonge W’Omatete, Rostin Mabela Makengo Matendo, Daniel Lama Okenge, Claude Mfumu Mbikudi and Bopatriciat Boluma Mangata, Computing the performance parameters of fuzzy Markovian queueing system in transient regime by flexible alpha-cuts method, Journal of Computing Research and Innovation (JCRINN) 8(1) (2023), 17-31.
https://jcrinn.com: doi: 10.24191/jcrinn.v8i1.347.
Meriem El Haddad and Faiza Belardi, Approximate analysis of an unreliable retrial queue with phase merging algorithm, l, NTMSCI 4(3) (2016), 9-21. http://dx.doi.org/10.20852/ntmsci.2016318801.
M. Zhou, L. Liu, X. Chai, and Z. Wang, Equilibrium strategies in a constant retrial queue with setup time and the N-policy, Communications in Statistics-Theory and Methods 49 (2018), 1695-1711.
https://doi.org/10.1080/03610926.2019.1565779.
Olga Bountali and Antonis Economou, Equilibrium joining strategies in batch service queueing systems, European Journal of Operational Research 260(3) (2017), 1142-1151. https://doi.org/10.1016/j.ejor.2017.01.024.
R. Hassin and R. Roet-Green, The impact of inspection cost on equilibrium, revenue, and social welfare in a single-server queue, Operations Research 65 (2017), 804-820. https://doi.org/10.1287/opre.2016.1578.
R. Hassin and R. Roet-Green, On queue-length information when customers travel to a queue, Manufacturing & Service Operations Management 23(4) (2020), 989-1004. https://doi.org/10.1287/MSOM.2020.0909.
T. Naceur and Y. Hayel, Revenue maximization with access and information pricing schemes in a partially-observable queueing game, VALUETOOLS (2019), 151-154. https://doi.org/10.48550/arXiv.1901.03115.
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