NDLI: Locating service centers optimizing customers’ perspective criteria

Content Provider	Springer Nature Link
Author	Seifbarghy, Mehdi Rabieian, Reza Karimi, Fatemeh
Copyright Year	2010
Abstract	A network of several demand nodes is considered. We want to locate a number of multiserver facilities at some nodes assuming at least one server must be located at each node. Accordingly, the number of servers has to be more than the nodes number. We propose a model for locating these facilities from customers’ perspective in such a way as to minimize the total average queue length, when customers choose the facilities they patronize, by the travel distance (or time) to the facility and the number of servers at the facility. This means that each customer can obtain the service or goods from several (i.e., rather than only one) facilities, according to a probabilistic distribution. Genetic and simulated annealing (SA) algorithms based heuristics are proposed to solve this problem, which belongs to nonlinear integer programming problems. We evaluate the proposed algorithms for the solution quality solving a number of numerical problems. The results indicate that SA whose objective function is around 26% less than that of genetic is of higher performance.
Starting Page	811
Ending Page	819
Page Count	9
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	54
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-10-19
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Location problem Queue Server Network Congestion Computer-Aided Engineering (CAD, CAE) and Design Industrial and Production Engineering Mechanical Engineering Production/Logistics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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