Inventory modelling for complex emergencies in humanitarian relief operations

Abstract

The increasing complexity and magnitude of global emergency relief operations create a critical need for effective and efficient humanitarian supply chain management processes. The irregular demand patterns and unusual constraints inherent in large-scale emergencies present unique challenges to physical supply systems. Indeed, the logistical needs of non-governmental organisations frequently surpass the capabilities of current emergency response approaches. There is only a limited body of research in humanitarian supply chain management, particularly in the area of inventory control. In this research, this limitation is addressed by developing a stochastic inventory control model that determines optimal order quantities and reorder points for a long-term emergency relief response.