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
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;
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2010 Winter
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-9866-6
DOI :
10.1109/WSC.2010.5678964