Abstract (EN):
The 2008 financial worldwide economy crisis shows us clearly that uncertainty and turbulent markets increase Supply Chain Risk, as also its vulnerability and complexity. Consequently, supply chain management is nowadays one of disciplines studied to help in recovery of the economy slowdown. In our work we developed a stochastic model for the automotive supply chain, dealing with uncertainty, and supporting strategic and tactical decision-making. This model takes into account the concepts of vulnerability, risk management and resilience. The model considers extreme uncertainties that may lead to serious disruptions of the supply chain and typical, e.g. demand.
Language:
English
Type (Professor's evaluation):
Scientific