There are several scientific research centers on supply chain risks in the US (as around the world): The east coast has several researcher on this topic e.g.
In the United States May 2008 was declared to be “Resilience Month” with several congressional hearings on the topic of how to improve organizational resilience on a societal level.
Yossi Sheffi from the MIT is one of the leading researchers on supply chain resilience and he was part of the hearings as well.
Today I want to describe yet another supply chain case study where Monte Carlo simulation is used as decision support for strategic / tactical supply chain decisions.
Several questions I receive concern the very basic elements of supply chain risk management. Since reading “Categorization of Supply Chain Risk and Risk Management” by Norrman and Lindroth (2004) I often referred to it, to describe the different aspects.
Framework
Norrman and Lindroth suggest a three dimensional framework to analyze different supply chain risk management issues (figure 1). The dimensions are:
