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Modeling and simulation of military tactical logistics distribution

Published: 11 December 2011 Publication History

Abstract

The military tactical logistics planning problem addresses the issue of distributing heterogeneous commodities in a theater of operations using a combination of heterogeneous transportation assets such as logistics trucks and tactical helicopters. The Canadian Forces requires a decision support tool to examine the trade-off between the cost of the support and its effectiveness during sustainment operations. In this study, a mathematical optimization algorithm and a simulation module to build cost efficient and effective military tactical logistics are developed. Details of the optimization algorithm along with several example applications are presented to demonstrate the methodology. The simulation results are focused on the trade-off between cost and lead-time within which demands are required, and on the optimal fleet mix of transportation assets to respond to the different requirements of deployed forces.

References

[1]
Chvátal, V. 1973. "Edmonds polytopes and a hierarchy of combinatorial problems". Discrete Mathematics 4 (4): 305--337.
[2]
Gomory, R. 1960. "Solving linear programming problems in integers". In Combinatorial Analysis, Symposia in Applied Mathematics X, 211--215. Providence, R.I.
[3]
Iori, M., J. González, and D. Vigo. 2007. "An exact approach for the vehicle routing problem with two-dimensional loading constraints". Transportation Science 41 (2): 253--264.
[4]
Laporte, G. 1992. "The vehicle routing problem: An overview of exact and approximate algorithms". European Journal of Operational Research 59 (3): 345--358.
[5]
Malapert, A., C. Guéret, N. Jussien, A. Langevin, and L.-M. Rousseau. 2008. "Two-dimensional Pickup and Delivery Routing Problem with Loading Constraints". Technical report, CIRRELT.
[6]
National Defence of Canada 2010. Cost Factors Manual. National Defence of Canada. Internal manual.
[7]
Ribeiro, C., and F. Soumis. 1994. "A Column Generation Approach to the Multi-Depot Vehicle Scheduling Problem". Operations Research 42:41--52.
[8]
Toth, P., and D. Vigo. 2002. The vehicle routing problem. Society for Industrial Mathematics.

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cover image ACM Conferences
WSC '11: Proceedings of the Winter Simulation Conference
December 2011
4336 pages

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Winter Simulation Conference

Publication History

Published: 11 December 2011

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  • Research-article

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WSC'11
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WSC'11: Winter Simulation Conference 2011
December 11 - 14, 2011
Arizona, Phoenix

Acceptance Rates

WSC '11 Paper Acceptance Rate 203 of 270 submissions, 75%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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