Markov Decision Model of Emergency Medical Supply Scheduling in Public Health Emergencies of Infectious Diseases

In this paper, a Markov decision process (MDP) model was established to study emergency medical material scheduling strategies for public health emergencies such as COVID-19.Within the constraints of dispatchable supplies, priority each node complicates problem deciding which hospital supplies respond to. The assumes that probability events in initial time period is line with Poisson distribution and location known when demand initiated. nodes divided into four categories: critical, urgent, priority, routine. There are several patients different priorities node: critical illness, severe mild illness. determined by overall situation patients. MDP paper gives how dispatch limited dispatching center make service rate whole system best. efficiency responding needs depends on number response at node. maximum effect iterative dynamic simulated simulation experiment compared under general conditions, so observe whether improved rate. (C) 2021 Authors. Published Atlantis Press B.V.