Cost Analysis of M/M/1 and MF/MF/1 Queuing Model using ANN and Signed Distance Method
Main Article Content
Abstract
In this paper, we attempt to analyze total cost of Markovian queuing models M/M/1 and MF/MF/1by using artificial neural network that models the complex and non-linear relationship between input and output and signed distance method respectively. Total costs of the models have been subjected to variation with the change in depending parameters of arrival and service rates. An efficient algorithm has been developed in order to compute the results. Models’ respective results have been presented through tables and graphs.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
