A Simulation Approach to Evaluate Performance Indices of Fuzzy Exponential Queuing System (An M/M/C Model in a Banking Case Study)

Authors

  • Mahshid Hemesy Department of Industrial Engineering, Arak branch, Islamic Azad University, Arak, Iran.
  • Mohammad Ehsanifar Department of Industrial Engineering, Arak branch, Islamic Azad University, Arak, Iran.
  • Nima Hamta Department of Mechanical Engineering, Arak University of Technology, Arak, Iran.
Abstract:

This paper includes a simulation model built in order to predict the performance indicessuch aswaiting time by analyzing queue’s components in the real world under uncertain and subjective situation. The objective of this paper is to predict the waiting time of each customer in an M/M/C queuing model. In this regard, to enable decision makers to obtain useful results with enough knowledge on the behavior of system, the queuing system is considered in fuzzy environment in which the arrival and service times are represented by fuzzy variables. The proposed approach for vague systems can represent the system more accurately, and more information is provided for designing queueing systems in real life. Furthermore, simulation method is applied successfully for modeling complex systems and understanding queuing behavior. Finally, a numerical example as a case study in a banking system is solved to show the validity of developed model in the real situation.

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Journal title

volume 4  issue 2

pages  35- 51

publication date 2017-12-01

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