A Novel Space Partitioning Algorithm to Improve Current Practices in Facility Placement

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This article discusses a novel space partitioning algorithm to improve current practices in facility placement.

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15 p.

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Jimenez, Tamara; Mikler, Armin R. & Tiwari, Chetan March 2011.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 87 times . More information about this article can be viewed below.

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This article discusses a novel space partitioning algorithm to improve current practices in facility placement.

Physical Description

15 p.

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© 2011 IEEE. Reprinted, with permission, from [Tamara Jimenez, Armin R. Mikler, and Chetan Tiwari, A Novel Space Partitioning Algorithm to Improve Current Practices in Facility Placement, IEEE Transactions on System, Man, and Cybernetics Part A, March 2011].

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of North Texas' products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Abstract: In the presence of naturally occurring and man-made public health threats, the feasibility of regional bio-emergency contingency plans plays a crucial role in the mitigation of such emergencies. While the analysis of in-place response scenarios provides a measure of quality for a given plan, it involves human judgement to identify improvements in plans that are otherwise likely to fail. Since resource constraints and government mandates limit the availability of service provided in case of an emergency, computational techniques can determine optimal locations for providing emergency response assuming that the uniform distribution of demand across homogeneous resources will yield and optimal service outcome. This paper presents an algorithm that recursively partitions the geographic space into sub-regions while equally distributing the population across the partitions. For this method, the authors have proven the existence of an upper bound on the deviation from the optimal population size for sub-regions.

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  • IEEE Transactions on System, Man, And Cybernetics Part A, 2011, New York: Institute of Electrical and Electronics Engineers

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  • Publication Title: IEEE Transactions on System, Man, and Cybernetics Part A
  • Volume: 42
  • Issue: 5
  • Page Start: 1194
  • Page End: 1205
  • Peer Reviewed: Yes

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UNT Scholarly Works

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  • March 2011

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  • Jan. 16, 2013, 12:47 p.m.

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  • March 27, 2014, 12:35 p.m.

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Jimenez, Tamara; Mikler, Armin R. & Tiwari, Chetan. A Novel Space Partitioning Algorithm to Improve Current Practices in Facility Placement, article, March 2011; [New York, New York]. (digital.library.unt.edu/ark:/67531/metadc132975/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.