Research Article
Designing a resilient supply chain: An approach to reduce drug shortages in epidemic outbreaks
@ARTICLE{10.4108/eai.13-7-2018.164260, author={Jose Antonio Lozano-Diez and Jose Antonio Marmolejo-Saucedo and Roman Rodriguez-Aguilar}, title={Designing a resilient supply chain: An approach to reduce drug shortages in epidemic outbreaks}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={6}, number={21}, publisher={EAI}, journal_a={PHAT}, year={2020}, month={1}, keywords={Supply chain design, resilient supply chain, epidemic outbreaks, COVID-19, drug shortages, Dynamic Simulation}, doi={10.4108/eai.13-7-2018.164260} }- Jose Antonio Lozano-Diez
Jose Antonio Marmolejo-Saucedo
Roman Rodriguez-Aguilar
Year: 2020
Designing a resilient supply chain: An approach to reduce drug shortages in epidemic outbreaks
PHAT
EAI
DOI: 10.4108/eai.13-7-2018.164260
Abstract
INTRODUCTION: Supply network design is a long-studied topic that has evolved to address disruptive situations. The risk of supply chain disruption leads to the development of resilient supply chains that are capable of reacting effectively.
OBJECTIVES: In the context of public health, drug supply networks face shortage challenges in many situations, such as current epidemic outbreaks such as COVID-19. Drug shortages can occur due to manufacturing problems, lack of infrastructure, and immediate reaction mechanisms.
METHODS: The case study is solved with anyLogistix optimization and simulation software.
RESULTS: We present the results of a hypothetical study on the impact of COVID-19 on a regional supply network. The results of this research are intended to be the basis for the design of resilient supply chains in epidemic outbreaks.
CONCLUSION: Drug providers should consider strategies to prevent or reduce the impact of shortages as well as disruption spreads.
Copyright © 2020 Jose Antonio Lozano-Diez et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
