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A bicriteria model for locating a semi-desirable facility in the plane

✍ Scribed by Jack Brimberg; Henrik Juel


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
645 KB
Volume
106
Category
Article
ISSN
0377-2217

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✦ Synopsis


We consider the problem of locating a facility in the plane. Customers want the facility to be close to obtain cheaply the service offered by it. But customers also want the facility to be far away to avoid the pollution from it. We model the situation using two criteria: One is the well-known minisum criterion; in the other we want to minimize the weighted sum of Euclidean distances raised to a negative power. The second criterion is analyzed in some detail, and we state some properties of this part of the model. In the bicriteria model we minimize the weighted sum of the two criteria, with weights adding to one. We outline a method for determining the efficient frontier of facility locations, and provide an illustrative numerical example.


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The paper considers a bicriteria model for locating a semi-desirable facility on the plane. One criterion is that of minimizing the sum of weighted distances between customers and facility, where distances are given by an arbitrary norm. The other criterion is that of maximizing the weighted Euclide

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In this paper, a finite set in which an optimal solution for a general Euclidean problem of locating an undesirable facility in a polygonal region, is determined and can be found in polynomial time. The general problem we propose leads us, among others, to several well-known problems such as the max