The University of Southampton
University of Southampton Institutional Repository

Cost analysis of fuzzy queuing systems

Cost analysis of fuzzy queuing systems
Cost analysis of fuzzy queuing systems
Regarding the fact that getting a suitable combination of the human resources and service stations is one of the important issues in the most service and manufacturing environments, In this paper, we have studied the two models of planning queuing systems and its effect on the cost of the each system by using two fuzzy queuing models of M/M/1 and M/E2/1. In the first section, we have compared two different fuzzy queuing models based on the costs of each model and fuzzy ranking methods are used to select optimal model due to the resulted complexity. This paper results in a new approach for comparing different queuing models in the fuzzy environment (regarding the obtained data from the real conditions) that it can be more effective than deterministic queuing models. Also a sensitivity analysis is carried out to help the decision maker in selecting the optimal model.
2251-6867
25-36
Barak, S.
f82186de-f5b7-4224-9621-a00e7501f2c3
Fallahnezhad, M.S.
c8102a0e-994b-4316-a3fb-bd4a1478eb91
Barak, S.
f82186de-f5b7-4224-9621-a00e7501f2c3
Fallahnezhad, M.S.
c8102a0e-994b-4316-a3fb-bd4a1478eb91

Barak, S. and Fallahnezhad, M.S. (2012) Cost analysis of fuzzy queuing systems. International Journal of Applied Operational Research, 2 (2), 25-36.

Record type: Article

Abstract

Regarding the fact that getting a suitable combination of the human resources and service stations is one of the important issues in the most service and manufacturing environments, In this paper, we have studied the two models of planning queuing systems and its effect on the cost of the each system by using two fuzzy queuing models of M/M/1 and M/E2/1. In the first section, we have compared two different fuzzy queuing models based on the costs of each model and fuzzy ranking methods are used to select optimal model due to the resulted complexity. This paper results in a new approach for comparing different queuing models in the fuzzy environment (regarding the obtained data from the real conditions) that it can be more effective than deterministic queuing models. Also a sensitivity analysis is carried out to help the decision maker in selecting the optimal model.

Text
IJAORLU-v2n2p0-fa - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 11 June 2012
Published date: July 2012

Identifiers

Local EPrints ID: 435058
URI: https://eprints.soton.ac.uk/id/eprint/435058
ISSN: 2251-6867
PURE UUID: c8fc4650-f963-4852-ba7d-3c87a3c6938e
ORCID for S. Barak: ORCID iD orcid.org/0000-0001-7715-9958

Catalogue record

Date deposited: 21 Oct 2019 16:30
Last modified: 22 Oct 2019 00:20

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×