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.
25-36
Barak, S.
f82186de-f5b7-4224-9621-a00e7501f2c3
Fallahnezhad, M.S.
c8102a0e-994b-4316-a3fb-bd4a1478eb91
July 2012
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), .
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.
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Accepted/In Press date: 11 June 2012
Published date: July 2012
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Local EPrints ID: 435058
URI: http://eprints.soton.ac.uk/id/eprint/435058
ISSN: 2251-6867
PURE UUID: c8fc4650-f963-4852-ba7d-3c87a3c6938e
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Date deposited: 21 Oct 2019 16:30
Last modified: 16 Mar 2024 04:42
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M.S. Fallahnezhad
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