Paper Info
Title
A multi-objective model for facility location-allocation problem with immobile servers within queuing framework
Abstract
This research investigates a practical bi-objective model for the facility location-allocation (BOFLA) problem with immobile servers and stochastic demand within the M/M/1/K queue system. The first goal of the research is to develop a mathematical model in which customers and service providers are considered as perspectives. The objectives of the developed model are minimization of the total cost of server provider and minimization of the total time of customers. This model has different real world applications, including locating bank automated teller machines (ATMs), different types of vendor machines, etc. For solving the model, two popular multi-objective evolutionary algorithms (MOEA) of the literature are implemented. The first algorithm is non-dominated sorted genetic algorithm (NSGA-II) and the second one is non-dominated ranked genetic algorithm (NRGA). Moreover, to illustrate the effectiveness of the proposed algorithms, some numerical examples are presented and analyzed statistically. The results indicate that the proposed algorithms provide an effective means to solve the problems.
Year
DOI
Venue
2014
10.1016/j.cie.2014.04.018
Computers and Industrial Engineering
Keywords
Field
DocType
queuing,immobile servers,location-allocation,multi-objective evolutionary algorithms,statistical tests
Mathematical optimization,Location-allocation,Evolutionary algorithm,Ranking,Computer science,Server,Service provider,Facility location problem,Queueing theory,Genetic algorithm,Operations management
Journal
Volume
Issue
ISSN
74
1
0360-8352
Citations 
PageRank 
References 
5
0.41
12
Authors
4
Name
Order
Citations
PageRank
Seyed Habib A. Rahmati11657.56
Abbas Ahmadi26010.01
Mani Sharifi3262.74
Amirhossain Chambari4712.39