Analysis of Queueing Systems Management in Fuzzy Environment with Randomized Hexagonal Fuzzy Numbers
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Abstract
The primary goal of queuing analysis is to predict systems performance which studies how the lines form, how they function, and why there is a malfunction in turn help business decision making on how to construct more efficient and cost effective systems. When compared to crisp queues which are more commonly used, Fuzzy queues are much more realistic in every practical situation. Random numbers plays an important role where the outcome is unpredictable and cannot be reproduced. The aim of this paper, is to study fuzzy queueing systems with the randomized hexagonal fuzzy numbers are considered, the performance metrics using method are determined and is related with the original fuzzy queueing problem. This study is used to identify in how much variations in input values for a given variable will impact in the results for a mathematical model.