skip to main content
10.5555/1218112.1218357acmconferencesArticle/Chapter ViewAbstractPublication PageswscConference Proceedingsconference-collections
Article

Modeling and simulation of Canadian forces strategic lift strategies

Published: 03 December 2006 Publication History

Abstract

In support of Canadian Forces (CF) transformation, a study was conducted to explore strategic lift movement strategies within the context of rapid deployability to counter asymmetric threats in failed or failing states around the globe. This study makes extensive use of two interconnected models. An aircraft loading optimization model using a combination of simulated annealing and genetic algorithm techniques with a novel convex hull based measure of effectiveness was developed to derive near-optimal loading plans across a fleet of transportation assets. The output from the loading model was then fed into a Monte Carlo simulation framework developed to allow for study of the effectiveness of a variety of strategic lift options. Analysis indicates that pre-positioning of equipment at various international locations and increased use of C-17 aircraft for airlift---where economically viable---could be potential strategies for improvement of the CF strategic lift.

References

[1]
Cho, H., S. Oh, and D. Choi. 1998. A new populationoriented simulated annealing technique based on local temperature concept. Electronics Letters 34: 312--316.
[2]
Eglese, A. 1990. Simulated annealing: A tool for operational research. European Journal of Operational Research 46: 271--281.
[3]
Ghanmi, A. and R. H. A. D. Shaw. 2006. Strategic lift strategies: Modeling and analysis in support of Canadian Forces transformation. Forthcoming, Centre for Operational Research and Analysis, DND, Ottawa.
[4]
Ghanmi, A. 2004. Modeling deployment lift of Operation ATHENA. DRDC ORD PR 2004/05, Centre for Operational Research and Analysis, DND, Ottawa.
[5]
Goldberg, D. E. 1989. Genetic algorithms in search, optimization and machine learning. Addition-Wesley.
[6]
Guéret, C., N. Jussien, O. Lhomme, C. Pavageau, and C. Prins. 2003. Loading aircraft for military operations. Journal of the Operational Research Society 54: 458--465.
[7]
Lodi, A., S. Martello, and M. Monaci. 2002. Twodimensional packing problems: A survey. European Journal of Operational Research 141: 241--252.
[8]
Pakhira, M. K. 2003. A hybrid genetic algorithm using probabilistic selection. Journal of the Institution of Engineers (India) 84: 23--30.

Cited By

View all
  • (2007)Genetic algorithms for agent-based infrastructure interdependency modeling and analysisProceedings of the 2007 spring simulation multiconference - Volume 210.5555/1404680.1404707(169-177)Online publication date: 25-Mar-2007
  1. Modeling and simulation of Canadian forces strategic lift strategies

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      WSC '06: Proceedings of the 38th conference on Winter simulation
      December 2006
      2429 pages
      ISBN:1424405017

      Sponsors

      • IIE: Institute of Industrial Engineers
      • ASA: American Statistical Association
      • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
      • IEEE-CS\DATC: The IEEE Computer Society
      • SIGSIM: ACM Special Interest Group on Simulation and Modeling
      • NIST: National Institute of Standards and Technology
      • (SCS): The Society for Modeling and Simulation International
      • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

      Publisher

      Winter Simulation Conference

      Publication History

      Published: 03 December 2006

      Check for updates

      Qualifiers

      • Article

      Conference

      WSC06
      Sponsor:
      • IIE
      • ASA
      • IEICE ESS
      • IEEE-CS\DATC
      • SIGSIM
      • NIST
      • (SCS)
      • INFORMS-CS
      WSC06: Winter Simulation Conference 2006
      December 3 - 6, 2006
      California, Monterey

      Acceptance Rates

      WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
      Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)1
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 07 Mar 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2007)Genetic algorithms for agent-based infrastructure interdependency modeling and analysisProceedings of the 2007 spring simulation multiconference - Volume 210.5555/1404680.1404707(169-177)Online publication date: 25-Mar-2007

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media