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Tactical vehicle fleet mix optimization

Published: 11 July 2010 Publication History

Abstract

This paper presents a methodological framework developed to address a tactical vehicle fleet mix optimization problem in a military context. Tactical vehicles are used to fulfill a variety of operational roles that require specific performance capabilities. The problem complexity is attributed to the fact that the vehicle role requirements are not well defined in practice and are dependent on various qualitative operational aspects. To address the problem, a decision analysis framework is developed to define the role requirements and to assess the vehicle performance. An optimization model is then formulated to determine the optimal vehicle mix under different operational constraints. The model is considered in a multi-objective format and the Pareto optimal front is determined through an exhaustive search. Single and multi-objective solution trade-offs are compared and discussed. An illustrative example is presented to demonstrate the methodology.

References

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Abbass, H. and Sarker, R. (2002). "Identification of future ADF vehicles and trailer fleets for project overlander," In Proceedings of the Mathematics-In-Industry Study Group (MISG) workshop, Centre for Industrial and Applied Mathematics, University of South Australia.
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Walmsley, N. S. and Hearn, P. (2004). "Balance of investment in armoured combat support vehicles: An application of mixed integer programming," J Opl Res Soc 55:403--412.
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Kaluzny, B. L. and Erkelens, A. J. (2006). "The Optimal MSVS fleet for first-line replenishment," Technical Report TR 2006-26, DRDC CORA, Ottawa.
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Last, D. and Horn, B. (1999). "Choice of force: Special Operations for Canada," McGill-Queen's Press, 2006.
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Kirwkwood, C. W (1997). "Strategic decision-making." Wadsworth Publish Company: Belmont, CA.
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Jessop, A. (1999). "Entropy in multiattribute problems", Journal of Multi-Criteria Decision Analysis 8(2): 61--70.
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Deb, K. (2001). "Mutli-Objective Optimization Using Evolutionary Algorithms." John Wiley & Sons, West Sussex, England.
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Veldhuizen D. V. (1999). "Multiobjective evolutionary algorithms: classifications, analyses, and new innovations", Ph.D. Thesis, Dayton, OH: Air Force Institute of Technology. Technical Report No. AFIT/DS/ENG/99-01.
  1. Tactical vehicle fleet mix optimization

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    SCSC '10: Proceedings of the 2010 Summer Computer Simulation Conference
    July 2010
    584 pages

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    • SCS: Society for Modeling and Simulation International

    In-Cooperation

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    Society for Computer Simulation International

    San Diego, CA, United States

    Publication History

    Published: 11 July 2010

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    Author Tags

    1. decision analysis
    2. logistics
    3. military
    4. optimization

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    SummerSim '10
    Sponsor:
    • SCS
    SummerSim '10: 2010 Summer Simulation Multiconference
    July 11 - 14, 2010
    Ontario, Ottawa, Canada

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