%0 Journal Article %T Influenza vaccine supply chain network design during the COVID-19 pandemic considering dynamical demand %J Scientia Iranica %I Sharif University of Technology %Z 1026-3098 %A Alizadeh, Mehdi %A Paydar, Mohammad Mahdi %A Hosseini, Seyyed Mehdi %A Makui, Ahmad %D 2021 %\ 12/06/2021 %V %N %P - %! Influenza vaccine supply chain network design during the COVID-19 pandemic considering dynamical demand %K Vaccine supply chain %K Dynamical demand %K Multi-objective model %K Covid-19 %R 10.24200/sci.2021.58365.5694 %X Nowadays, the healthcare industry focuses on the COVID-19 more than any other issues. There are many close similarities between the symptoms of the coronavirus and the Influenza (flu) virus, which sometimes make it difficult to distinguish between them. So, it has prompted countries to start flu vaccination to prevent potential problems. To consider it, this study presents a multi-level supply chain for the flu vaccine during the COVID-19 pandemic. The problem pursues three main goals: cost minimization, maximizing demand allocation based on customer prioritization, and minimizing maximum lost customer demand. Due to the limited number of vaccines, a rate indicating the priority of each group of customers to receive the vaccine in the proposed model is considered. Customer prioritization can undermine justice because a flu patient is in critical condition but has low priority. Therefore, the third objective seeks to create justice and morality by minimizing the maximum lost demand. To evaluate the model, it is conducted based on a case study in Mazandaran province, Iran. The findings illuminate that 79 % of the demand will be met. Besides it shows that by increasing the capacity to 10%, the demand will be satisfied 9 percent more. %U https://scientiairanica.sharif.edu/article_22587_06c1c74a3ddd7eedd1a4147e118885f4.pdf