The purpose of this paper is to introduce a 3R (right time, right place, and right material) principle for characterizing failure in humanitarian/relief supply chains’ response to natural disasters, and describes a Bayesian methodology of the failure odds with regard to external factors that may affect the disaster-relief outcome, and distinctive supply chain proneness to failure.
The purpose of this paper is to suggest the use of reverse medical supply chain data to infer changes of a population’s health status with regard to a focal disease. It includes a detailed illustration of how health status information can be obtained from drug reverse chains