Cost Optimization Of Arrival And Service Control Queueing Model With Single Server In Fuzzy Environment Of Uncertainty
Main Article Content
Abstract
In this article, the analysis of cost optimization for queuing system with single server in fuzzy environment of uncertainty has been studied. The purpose of the investigation is to build the total cost function along with the total optimal cost of the queuing system in fuzzy paradigm under uncertainty. The fuzzy analysis is carried out to provide more realistic solution of the problems under consideration as compared to usual crisp solutions for the model. The theoretical developments for both crisp and the fuzzy systems have been derived for the model separately and computed costs are clearly perceptible to verify and compare. At the last, the sensitivity analysis has also been carried out with the help of numerical study to finally judge the theoretical findings of the model under investigation..
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.