Knowledge-based decision support model for supply chain disruption management

Abstract

Frequent risk evens disrupt normal supply chain operations in recent years. It becomes a strategic issue to determine which action to undertake for managing disruption risks. This paper proposed a decision support model which integrates a case-based reasoning mechanism to help supply chain members cope with disruption risks. The model retrieves and reuses past experience knowledge to solve current disruption cases. It reduces the decision efforts as well as improves the decision performance and acceptance. © 2011 Springer-Verlag.