Optimization of Queuing Theory Based on Vague Environment

Verónica Andrea González-López, Ramin Gholizadeh and Aliakbar M. Shirazi
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Verónica Andrea González-López: Department of Statistics, University of Campinas, Campinas, Brazil
Ramin Gholizadeh: Department of Statistics, University of Campinas, Campinas, Brazil
Aliakbar M. Shirazi: Department of Statistics, University of Campinas, Campinas, Brazil

International Journal of Fuzzy System Applications (IJFSA), 2016, vol. 5, issue 1, 1-26

Abstract: Waiting lines or queues are commonly occurred both in everyday life and in a variety of business and industrial situations. The various arrival rates, service rates and processing times of jobs/tasks usually assumed are exact. However, the real world is complex and the complexity is due to the uncertainty. The queuing theory by using vague environment is described in this paper. To illustrate, the approach analytical results for M/M/1/8 and M/M/s/8 systems are presented. It optimizes queuing models such that the arrival rate and service rate are vague numbers. This paper results a new approach for queuing models in the vague environment that it can be more effective than deterministic queuing models. A numerical example is illustrated to check the validity of the proposed method.

Date: 2016
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