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Optimization of Queuing Theory Based on Vague Environment

Author

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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)

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.

Suggested Citation

  • Verónica Andrea González-López & Ramin Gholizadeh & Aliakbar M. Shirazi, 2016. "Optimization of Queuing Theory Based on Vague Environment," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 5(1), pages 1-26, January.
    • Handle: RePEc:igg:jfsa00:v:5:y:2016:i:1:p:1-26
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