On retrial queue with customer balking and feedback subject to server breakdowns

Jau-Chuan Ke, Tzu-Hsin Liu, Siping Su and Zhe-George Zhang

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 17, 6049-6063

Abstract: Motivated by some real stochastic service systems, we study a feedback retrial queue with customer balking and unreliable servers (servers subject to breakdowns). A customer will either join a retrial orbit or balk if all servers are busy upon his arrival. After a service completion, the customer either leave the system or enter the retrial group again for additional service. The customer who is interrupted by the server failure will be served by another server if available; otherwise, he will be contacted later and treated as leaving the system. We use a quasi-birth-and-death process to analyze this system with almost all possible uncertain factors and derive major performance measures of the system. We also develop a cost function determining the optimal parameter settings of the system under the stability condition. Probabilistic Global Search Lausanne approach is employed in solving the optimization issue. The effects of parameters on performance measures of the system are examined numerically. Finally, we discuss the application of the model in the telephone medical consulting service system.

Date: 2022
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DOI: 10.1080/03610926.2020.1852432

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