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Identification and simulation of risks in supply networks

The graphical model uses a Bayesian Network to determine the accumulated probability of failure in supply networks. The Bayesian network captures common causal relations of risk events in a supply chain. It is not complete and is not constructed by a proper risk assessment of a special company.

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ARTICLES and PAPERS
Fragility and sustainability: emerging research areas?
Should short-term loss-minimization and short-term profit maximization really be the driving force b[...]
Friend or foe or both?
Realities of supply chain collaboration
Supply chain collaboration, easy or difficult? And can it really work? In theory yes, but in reality[...]
BOOKS and BOOK CHAPTERS
Risk in Virtual Enterprise Networks
Done...I finally made it! Today I submitted my full chapter for the book on Managing Risk in Virtual[...]
Business Continuity in Global Supply Chains
Business Continuity is a crucial ingredient of supply chain management. At the same time, implementi[...]
REPORTS and WHITEPAPERS
Critical Infrastructure and Resilience
What happens when a business is disabled for a length of time? What are the impacts on its profitabi[...]
Are roads more important than computers?
Critical Infrastructure. Which is more important - or 'critical' - road networks or computers? What [...]
from HERE and THERE
Defining and Measuring Economic Resilience
Economic resilience, as defined a paper published by the Multidisciplinary Center for Earthquake Eng[...]
Supply Chain Performance Metrics
Financial key performance indicators are valuable because they capture the economic consequences of [...]