Skip to main content

Using Plane Tessellation Algorithms to Optimize Resource Allocation

  • Chapter
  • First Online:
Military Logistics

Part of the book series: Operations Research/Computer Science Interfaces Series ((ORCS,volume 56))

  • 1692 Accesses

Abstract

Voronoi Tessellations are one of the most common approaches to dividing a plane into cells such that parts of the plane closest to specific points belong to each cell. (See Fig. 7.1) Using the cell areas to determine resource optimization is a powerful logistical tool. These cell sizes can be modified through a weighted Voronoi tessellation, so that criteria other than distance such as geographic factors, enemy activity and concentration, the allocation of resources can be graphically through the plane tessellation process. It is possible to give more importance to one criterion over another, and constants can be used in certain cases to fine tune a weightage. The aim of this chapter is to describe a method to use a weighted Voronoi diagram to allocate resources efficiently. The method can be used for any number of resources including, but not limited to, troops, ammunitions or medical supplies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Deza, E., Deza, M.: Dictionary of Distances, pp. 255, 256 Elsevier Science, Amsterdam (2006)

    Google Scholar 

  • Edelsbrunner, H.: 13.6 Power Diagrams, Algorithms in Combinatorial Geometry, EATCS Monographs on Theoretical Computer Science 10, pp. 327–328. Springer-Verlag, Berlin (1987)

    Google Scholar 

  • Eugene, F.K.: Taxicab Geometry. Dover, New York (1987). ISBN 0-486-25202-7

    Google Scholar 

  • Ewing, P.L., Tarantino, W., Parnell, G.S.: Army base realignment and closure military value analysis. Decision analysis. Decis. Anal. Inf. 3(1), 33–49 (2006)

    Article  Google Scholar 

  • Gardenfors, P.: Assignment problem based on ordinal preferences. Manage. Sci. 20(3), 331–340 (1973)

    Article  Google Scholar 

  • Holmberg, K.: Encyclopedia of Optimization, pp. 609–616. Springer, New York (2001)

    Google Scholar 

  • Jaiswal, N.K.: Military Operations Research: Quantitative Decision Making. Kluwer, Boston (1997)

    Book  Google Scholar 

  • Johnson, S.: The Ghost Map: The Story of London’s Most Terrifying Epidemic—and How it Changed Science, Cities and the Modern World, pp. 195–196. Riverhead Books, New York (2006). ISBN 1-59448-925-4

    Google Scholar 

  • Roux, J., van Vuuren, J.: Threat evaluation and weapon assignment decision support: a review of the state of the art. J. Oper. Res. Soc. S. Afr. 23(2), 151–187 (2007)

    Google Scholar 

  • Scott, B.F., Rainey, Lt Col James C., et al. The logistics of war, Air Force Journal of (2000)

    Google Scholar 

  • Sharifzadeh, M., Shahabi, C.: Computer Science Department, University of Southern California. Additively weighted voronoi diagrams for optimal sequenced route queries (2006)

    Google Scholar 

  • US Department of State.: US Government Counter Insurgency Guide, pp. 26 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Suchisman Sandipan Gangopadhyay .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Gangopadhyay, S. (2015). Using Plane Tessellation Algorithms to Optimize Resource Allocation. In: Zeimpekis, V., Kaimakamis, G., Daras, N. (eds) Military Logistics. Operations Research/Computer Science Interfaces Series, vol 56. Springer, Cham. https://doi.org/10.1007/978-3-319-12075-1_7

Download citation

Publish with us

Policies and ethics