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

Authors

Xiaojia Wang, Zhizhen Liang, Keyu Zhu^*

Department of Information Management, School of Management, Hefei University of Technology, Hefei, Anhui, 230009, China

^*Corresponding author. Email: zhukeyu@hfut.edu.cn

DOI

10.2991/ijcis.d.210222.002How to use a DOI?

Keywords

Infectious disease public health emergencies; Emergency medical supplies; Material dispatch; Markov decision model

Abstract

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, the priority of each medical node complicates the problem of deciding which hospital node supplies to respond to. The model assumes that the probability of events in the initial time period is in line with the Poisson distribution and that the location and priority of each hospital node is known when the material demand is initiated. The priority of hospital nodes is divided into four categories: critical, urgent, priority, and routine. There are several patients with different priorities in a hospital node: critical illness, severe illness, and mild illness. The priority of the hospital node is determined by the overall situation of the hospital patients. The MDP model established in this paper gives how to dispatch limited emergency medical supplies in the dispatching center to make the service rate of the whole system the best. The efficiency of the dispatching center in responding to the material needs of the hospital node depends on the constraints of the number and response time of different priority patients at the node. The maximum effect iterative dynamic model was simulated by simulation experiment and compared with the simulation effect under general conditions, so as to observe whether the model improved the system service rate.

Copyright

© 2021 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Xiaojia Wang
AU  - Zhizhen Liang
AU  - Keyu Zhu
PY  - 2021
DA  - 2021/03/12
TI  - Markov Decision Model of Emergency Medical Supply Scheduling in Public Health Emergencies of Infectious Diseases
JO  - International Journal of Computational Intelligence Systems
SP  - 1155
EP  - 1169
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.210222.002
DO  - 10.2991/ijcis.d.210222.002
ID  - Wang2021
ER  -