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Prameela, K.U. and Kumar, P. (2020) Conceptualization of Finite Capacity Single-Server Queueing Model with Triangular, Trapezoidal and Hexagonal Fuzzy Numbers using α-Cuts. In: Dutta, D. and Mahanty, B., Eds., Numerical Optimization in Engineering and Sciences, Vol. 979, Springer, Singapore, 201-212.
https://doi.org/10.1007/978-981-15-3215-3_19

has been cited by the following article:

• TITLE: Optimization of M/M/s/N Queueing Model with Reneging in a Fuzzy Environment

  AUTHORS: Ananda Prasad Panta, Ram Prasad Ghimire, Dinesh Panthi, Shankar Raj Pant

  KEYWORDS: Fuzzy Environment, Poisson, Optimal, Reneging

  JOURNAL NAME: American Journal of Operations Research, Vol.11 No.3, May 12, 2021

  ABSTRACT: This paper deals with the study of multi-server queueing model in a fuzzy environment with imposition of reneging of customers. Entry of the customers in the system is assumed to be Poisson process and exponential service time distribution under first-come-first-served basis. Specific of this investigation is to derive the various fuzzy performance measures such as fuzzy queue length, fuzzy waiting time in queue, fuzzy response time and fuzzy optimal number of servers in explicit form for the finite capacity multi-server queueing system by using recursive method. For the validity of the model we have obtained the numerical illustrations in tabular form which shows that fuzzy-queue can be more realistic than crisp queue.