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Related Experiment Video

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A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply.

Xin Wang1,2, Ruiwei Jiang3, Mingyao Qi2

  • 1Department of Industrial Engineering, Tsinghua University, Beijing 100084, China.

Omega
|April 6, 2023
PubMed
Summary

This study introduces a robust two-stage model for efficient and equitable COVID-19 vaccine distribution, optimizing facility location and transport, even with supply uncertainty. Drones are utilized for remote vaccine delivery, enhancing accessibility.

Keywords:
Drone deliveryFacility locationPandemic vaccine distributionRobust optimizationUncertain supply

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Area of Science:

  • Operations Research and Management Science
  • Public Health and Epidemiology
  • Supply Chain Management

Background:

  • The COVID-19 pandemic necessitates widespread vaccination for global crisis resolution.
  • Vaccine scarcity and distribution challenges, especially in rural areas, hinder effective pandemic control.
  • Ensuring equitable vaccine access remains a critical public health and logistical hurdle.

Purpose of the Study:

  • To develop a robust, two-stage model for optimizing vaccine distribution under supply uncertainty.
  • To enhance social and economic benefits through strategic facility location, transportation capacity, and reservation planning.
  • To address logistical challenges in remote areas by incorporating drone-based vaccine delivery.

Main Methods:

  • A two-stage robust optimization model is formulated to manage vaccine supply uncertainty.
  • Joint optimization of vaccination facility location, transportation capacity, and reservation plans.
  • Two tailored column-and-constraint generation algorithms (vertex traversal and dual methods) are employed to solve the robust model, with the dual method demonstrating superiority.

Main Results:

  • The model effectively addresses vaccine supply uncertainty and optimizes distribution strategies.
  • Real-world data validates the importance of considering supply variability and equitable distribution.
  • Analysis of key parameters provides insights into the impact of different factors on vaccine distribution efficiency.

Conclusions:

  • The proposed robust model offers a viable solution for efficient and equitable vaccine distribution, particularly in challenging environments.
  • The integration of drones enhances vaccine accessibility in remote and hard-to-reach areas.
  • The study provides valuable managerial insights for decision-makers involved in public health logistics and emergency response planning.