Abstract
The number of armoured vehicles reloading ammunition during a combat engagement is dependent on the characteristics of the weapon system. This article presents a case study examining the consequences for vehicle availability of two different potential weapon systems for the Canadian Army's Light Armoured Vehicle III. Basic statistical models are first employed to determine the number of vehicles reloading. Such predictions constitute merely approximations since they require numerous simplifying assumptions. Consequently, Monte Carlo simulations are used for complementary analyses. Simulating the engagement in a virtual environment provides an opportunity to collect higher fidelity data albeit at much greater expense. A case study is provided using each of these three methods, thus providing a comparison of results and required investment of resources.
Similar content being viewed by others
References
Anderson, D.R., Sweeney, D.J., Williams, T.A. and Martin, R.K. (2007) An Introduction to Management Science: Quantitative Approaches to Decision Making, 12th edn. Mason, OH: South-Western College Publishing, p. 816.
Blischke, W.R. and Murthy, D.N.P. (2000) Reliability: Modeling, Prediction, and Optimization. Hoboken, NJ: John Wiley & Sons, p. 812.
Blumenfeld, D. (2001) Operations Research Calculations Handbook. New York, NY: CRC Press, p. 199.
Hillier, F.S. and Lieberman, G.J. (2005) Introduction to Operations Research, 8th edn. Toronto, ON: McGraw-Hill, p. 1061.
Johnson, N.L., Kotz, S. and Balakrishnan, N. (1994) Continuous Univariate Distributions, Vol. 1, 2nd edn. Hoboken, NJ: John Wiley & Sons, p. 761.
Acknowledgements
The author would like to thank all the uniformed colleagues throughout the Canadian Army who provided data and feedback for this work. In addition, the reviewer is thanked for his very constructive suggestions to improve the article.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Pond, G. Vehicle availability during a mounted combat engagement. OR Insight 23, 172–186 (2010). https://doi.org/10.1057/ori.2010.8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1057/ori.2010.8