A Simulation-based Analysis of the Blood Supply Chain during Covid-19

Based on interviews at Indonesian Red Cross in Yogyakarta, there has been a 30 decrease in blood supply since the Covid-19 pandemic occurred. This study aims to create system dynamics model of the blood supply chain, analyze the fulfillment of blood demand, create policy scenarios to significantly increase blood supply, and provide recommendations. The research stages consist of dynamic hypothesis, system dynamics model, policy scenarios, comparative analysis, and conclusions. There are many requests for blood from hospitals and blood transfusion units that have not been fulfilled. Policy scenarios that can significantly increase blood supply are made, namely: socialization of blood donation through short message applications, collaboration with agencies to donate blood, combined scenarios of socialization of blood donation and collaboration with agencies. Based on the capacity of Indonesian Red Cross in Yogyakarta, it can be concluded that the combined scenario with the combination of targets number 5 (contacting 14, 723 people and collaborating with 5 agencies), 6 (contacting 17, 667 people and collaborating with 4 agencies, ), and 7 (contacting 20 people and collaborating with 3 agencies) is recommended to apply. © 2021 IEEE.