Mitigating Supply Disruption for a Global Chemical Supply Chain-Application of Agent-based Modeling

Abstract

In today's global and competitive markets, managing supply chain disruptions is a key factor in the success of any business. Disruption management, however, can be a challenging issue as disruptions can occur for a wide variety of reasons and the approaches to handle these risks are also ample. Moreover, evaluating the disruption impact and possible treatments is not a trivial task for a complex supply chain with many actors and different types of interactions. This calls for appropriate modeling and simulation frameworks. This paper presents a simulation-based risk analysis approach using an agent-based model and its application for a specific case of a lube oil supply chain. © 2012 Elsevier B.V.