Multi-agent System for Simulation of Response to Supply Chain Disruptions

Abstract

Global supply networks of manufacturing companies face many types of disruption. Quick decision-making with only limited information is often required. We propose a novel agent-based planning and scheduling simulation system, which can make rescheduling suggestions within minutes and with limited change to the existing plan. By simulating disruptions of various nature and severity in advance, the system also serves to support preventive supply chain design changes.