• DocumentCode
    1909921
  • Title

    Monte Carlo simulation-based supply chain disruption management for wargames

  • Author

    Jin, Shilan ; Zhuang, Jun ; Liu, Zigeng

  • Author_Institution
    Ind. & Syst. Eng., SUNY at Buffalo, Buffalo, NY, USA
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    2682
  • Lastpage
    2693
  • Abstract
    In this paper, we integrate supply chain risk management with a government-terrorist game conducted in war zones (such as Afghanistan and Iraq). The equilibrium outcomes of wargames depend on the government´s resources delivered through military supply chains, which are subject to disruptions such as natural disasters and terrorism. We study the government´s optimal pre-disruption preparation strategies, including inventory protection and capacity backup protection. Considering the uncertainties (e.g., the outage length of a disruption and the level of resources available to the terrorist), we conduct Monte Carlo simulation experiments to numerically investigate the benefits using our disruption preparation strategies compared with other strategies.
  • Keywords
    Monte Carlo methods; defence industry; risk management; supply chain management; Monte Carlo simulation; capacity backup protection; government pre-disruption preparation strategies; government-terrorist game; inventory protection; military supply chains; supply chain disruption management; wargames; Equations; Government; Mathematical model; Monte Carlo methods; Numerical models; Supply chains; Terrorism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2010 Winter
  • Conference_Location
    Baltimore, MD
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4244-9866-6
  • Type

    conf

  • DOI
    10.1109/WSC.2010.5678964
  • Filename
    5678964