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Keywords
(7)
Facility Location
Facility Location Problem
Genetic Algorithm
Genetics
Industrial Application
Queuing Theory
Waiting Time
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Genetic application in a facility location problem with random demand within queuing framework
Genetic application in a facility location problem with random demand within queuing framework,10.1007/s1084501004161,Journal of Intelligent Manufa
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Genetic application in a facility location problem with random demand within queuing framework
(
Citations: 1
)
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Seyed Hamid Reza Pasandideh
,
Seyed Taghi Akhavan Niaki
In many service and industrial applications of the
facility location
problem, the number of required facilities along with allocation of the customers to the facilities are the two major questions that need to be answered. In this paper, a
facility location problem
with stochastic customer demand and immobile servers is studied. Two objectives considered in this problem are: (1) minimizing the average customer
waiting time
and (2) minimizing the average facility idletime percentage. We formulate this problem using
queuing theory
and solve the model by a
genetic algorithm
within the desirability function framework. Several examples are presented to demonstrate the applications of the proposed methodology.
Journal:
Journal of Intelligent Manufacturing  J INTELL MANUF
, vol. 21, no. 4, pp. 19
DOI:
10.1007/s1084501004161
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Citation Context
(1)
...For more locationallocation literature, the reader can refer to Jabalameli and Ghaderi (2008), Aras et al. (2008), Salhi and Gamal (2003), Gamal and Salhi (2001), Liu and Xu (2009),
Pasandideh and Niaki (2010)
...
JeanPaul Arnaout
.
Ant colony optimization algorithm for the Euclidean locationallocatio...
References
(20)
Facility location models for immobile servers with stochastic demand
(
Citations: 3
)
Qian Wang
,
Rajan Batta
,
Christopher M. Rump
Journal:
Naval Research Logistics  NAV RES LOG
, vol. 51, no. 1, pp. 137152, 2004
The maximum reliability location problem and αreliable p center problem: Derivatives of the probabilistic location set covering problem
(
Citations: 31
)
Charles Revelle
,
Kathleen Hogan
Journal:
Annals of Operations Research  Annals OR
, vol. 18, no. 1, pp. 155173, 1989
A fuzzy queuing location model with a genetic algorithm for congested systems
(
Citations: 5
)
Hassan Shavandi
,
Hashem Mahlooji
Journal:
Applied Mathematics and Computation  AMC
, vol. 181, no. 1, pp. 440456, 2006
Facility layout design using virtual multiagent system
(
Citations: 5
)
Hamed Tarkesh
,
Arezoo Atighehchian
,
Ali S. Nookabadi
Journal:
Journal of Intelligent Manufacturing  J INTELL MANUF
, vol. 20, no. 4, pp. 347357, 2009
Optimal Server Location on a Network Operating as an M/G/1 Queue
(
Citations: 68
)
O. Berman
,
R. C. Larson
,
S. S. Chiu
Journal:
Operations Research
, vol. 33, no. 4, pp. 746771, 1985
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Citations
(1)
Ant colony optimization algorithm for the Euclidean locationallocation problem with unknown number of facilities
JeanPaul Arnaout
Journal:
Journal of Intelligent Manufacturing  J INTELL MANUF
, pp. 110