research-article

Assistant decision method for intelligent dispatch of emergency medical materials

Authors:

Jian CaoAuthors Info & Claims

CAIH2020: Proceedings of the 2020 Conference on Artificial Intelligence and Healthcare

Pages 84 - 90

https://doi.org/10.1145/3433996.3434012

Published: 04 December 2020 Publication History

Abstract

How to improve the transportation efficiency of emergency medical materials is the key research issue of emergency logistics. A case of novel new coronavirus pneumonia (COVID-19) outbreak in Wuhan earlier this year was taken as research material, this paper selected the real road network from GIS as the simulation testing environment, built the simulation object through the agent model to simulate the transportation of emergency medical materials on a comprehensive simulation platform-Anylogic based on dynamics. Taking the order completion time of the required materials at the demand point as the index, the feasible scheme was input in turn for simulation, and the simulation data was used to output the intuitionistic comparison and selection results. The results show that: through the location comparison of distribution centers, the optimal allocation scheme can be obtained; in the case of sufficient transport capacity, blindly increasing the number of distribution centers can't significantly improve the efficiency; in the case of insufficient transport capacity, priority to increase the number of vehicles is a better choice than reasonable allocation of vehicles. The scheme evaluation simulation model established in this paper has strong operability and can be adjusted according to the actual situation. It can provide reliable data support for decision makers and has certain practical significance.

References

[1]

J. B. Sheu, C. Pan, (2015)Relief supply collaboration for emergency logistics responses to large-scale disasters, Transportmetrica A: Transport Science, vol. 11, no. 3, pp. 210--242.

[2]

R. Mohammadi, S. M. T. Fatemi Ghomi, F. Zeinali, (2014) A new hybrid evolutionary based RBF networks method for forecasting time series: a case study of forecasting emergency supply demand time series, Engineering Applications of Artificial Intelligence, vol. 36, pp. 204--214.

Digital Library

[3]

X. Zhu, G. Zhang, B. Sun, (2019) A comprehensive literature review of the demand forecasting methods of emergency resources from the perspective of artificial intelligence, Natural Hazards, vol. 97, no. 1, pp. 65--82.

[4]

A. Trivedi, A. Singh, (2017) A hybrid multi-objective decision model for emergency shelter location-relocation projects using fuzzy analytic hierarchy process and goal programming approach, International Journal of Project Management, vol. 35, no. 5, pp. 827--840.

[5]

Z. Wang, H. Hu, M. Guo, J. Gong, (2019) Optimization of temporary debris management site selection and site service regions for enhancing postdisaster debris removal opera- tions, Computer-Aided Civil and Infrastructure Engineering, vol. 34, no. 3, pp. 230--247.

Digital Library

[6]

Y. Ma, W. Xu, L. Qin, X. Zhao, (2019) Site selection models in natural disaster shelters: a review, Sustainability, vol. 11, pp. 1--24.

[7]

H. Park, D. Waddell, A. Haghani, (2019) Online optimization with look-ahead for freeway emergency vehicle dispatching considering availability, Transportation Research Part C: Emerging Technologies, vol. 109, pp. 95--116.

[8]

M. A. Dulebenets, J. Pasha, J. Kavoosi et al., (2020) Multi-objective optimization model for emergency evacuation planning in geographical locations with vulnerable population groups, Journal of Management in Engineering, vol. 36, no. 2, Article ID 04019043.

[9]

J. B. Sheu, (2007) An emergency logistics distribution approach for quick response to urgent relief demand in disasters, Transportation Research Part E: Logistics and Transportation Review, vol. 43, pp. 687--709.

[10]

B. Bodaghi, E. Palaneeswaran, B. Abbasi, (2018) Bi-objective multi-resource scheduling problem for emergency relief operations, Production Planning Control, vol. 29, no. 14, pp. 1191--1206.

[11]

F. Sabouhi, A. Bozorgi-Amiri, M. Moshref-Javadi, M. Heydari, (2019) An integrated routing and scheduling model for evacuation and commodity distribution in large-scale disaster relief operations: a case study, Annals of Operations Research, vol. 283, no. 1--2, pp. 643--677.

[12]

Z. Ghaffari, M. M. Nasiri, A. Bozorgi-Amiri, A. Rahbari, (2020) Emergency supply chain scheduling problem with multiple resources in disaster relief operations, Transportmetrica A:Transport Science, vol. 16, no. 3, pp. 930--956.

[13]

Meishiang Yalingtseng Jingwenchen. (2007) A scenario planning approach for the flood emergency logistics preparation problem uncertainty. Transportation Reseach, (43):737--754.

[14]

Slowik, Elizabeth. (2008) Puting Emergency Logistic Into Play. Grand Rapids Business Journal, (19):36.

[15]

Ioannis Karakikes, EftihiaNathanail. (2017) SimulationTechniques for Evaluating Smart Logistics Solutions for Sustainable Urban Distribution. Procedia Engineering, 178:569--578.

Cited By

Franch‐Pardo IDesjardins MBarea‐Navarro ICerdà A(2021)A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020Transactions in GIS10.1111/tgis.1279225:5(2191-2239)Online publication date: 11-Jul-2021
https://doi.org/10.1111/tgis.12792

Index Terms

Assistant decision method for intelligent dispatch of emergency medical materials
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation evaluation

Recommendations

Implementing Telemedicine in Medical Emergency Response: Concept of Operation for a Regional Telemedicine Hub

A regional telemedicine hub, providing linkage of a telemedicine command center with an extended network of clinical experts in the setting of a natural or intentional disaster, may facilitate future disaster response and improve patient outcomes. ...
Emergency evacuation with unbalanced utilization of exits at platform level: A simulation study
Fuzzy logic systems for transportation engineering

Urban rail transit station has a large number of people gathering and relatively closed space, which has become a high incidence of emergencies. In the process of emergency evacuation, due to the unbalanced utilization rate of exits, the evacuation time ...
Intelligent event processing for emergency medical assistance
SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing

The main objective of Emergency Medical Assistance services is to attend patients with sudden diseases at any possible location within an area of influence. Especially for severe emergency patients, the potential of such systems to reduce mortality is ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

CAIH2020: Proceedings of the 2020 Conference on Artificial Intelligence and Healthcare

October 2020

294 pages

ISBN:9781450388641

DOI:10.1145/3433996

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 December 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

CAIH2020

CAIH2020: 2020 Conference on Artificial Intelligence and Healthcare

October 23 - 25, 2020

Taiyuan, China

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
55
Total Downloads

Downloads (Last 12 months)8
Downloads (Last 6 weeks)3

Reflects downloads up to 25 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Franch‐Pardo IDesjardins MBarea‐Navarro ICerdà A(2021)A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020Transactions in GIS10.1111/tgis.1279225:5(2191-2239)Online publication date: 11-Jul-2021
https://doi.org/10.1111/tgis.12792

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten