• DocumentCode
    2715971
  • Title

    A framework for the design of a military operational supply network

  • Author

    Ghanmi, Ahmed ; Martel, Alain ; Berger, Jean ; Boukhtouta, Abdeslem

  • Author_Institution
    Centre for Operational Res. & Anal., Canadian Dept. of Nat. Defence, Ottawa, ON, Canada
  • fYear
    2009
  • fDate
    8-10 July 2009
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    This paper presents a methodology framework for the design of robust and effective military supply networks integrating various supply chain management dimensions. The proposed network design approach accounts for dynamic market demand, capacity, supply and resource conditions in a time-varying uncertain environment. The framework is based upon a two-level decomposition scheme combining design and user model components. The proposed stochastic multi-stage design model problem consists of determining the number and location of facilities (depots) required to satisfy an anticipated set of customer´s demands and customer allocation (mission) to depots over a given time horizon. The user model is exploited to produce scenario-based anticipations to the design model required for network design problem-solving, and to assess network design solutions. The user model component mixes lot-sizing decisions with transportation assets assignments. Simulation is expected to be used to dynamically generate stochastic events supporting the construction of solution at both levels. Preliminary results on a military operational support hubs case study are reported and briefly analyzed for a simplified asset pre-positioning problem.
  • Keywords
    facility location; lot sizing; military computing; stochastic systems; supply and demand; supply chain management; customer allocation; customer demands; depots; dynamic market demand; lot-sizing decisions; military operational supply network; military operational support hubs; military supply networks; network design; stochastic events; stochastic multistage design model problem; supply chain management; time-varying uncertain environment; transportation assets assignments; Computational intelligence; Inventory management; Redundancy; Resilience; Risk management; Robustness; Stochastic processes; Supply chains; Transportation; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Security and Defense Applications, 2009. CISDA 2009. IEEE Symposium on
  • Conference_Location
    Ottawa, ON
  • Print_ISBN
    978-1-4244-3763-4
  • Electronic_ISBN
    978-1-4244-3764-1
  • Type

    conf

  • DOI
    10.1109/CISDA.2009.5356523
  • Filename
    5356523