Viable healthcare supply chain network design for a pandemic
研究提出一个多阶段随机规划模型，设计包含健康中心、CT扫描中心、医院和诊所的多层级医疗网络，以最大化患者康复概率、最小化成本和死亡率，并通过伊朗案例验证模型在疫情中的可行性。
The recent COVID-19 pandemic revealed that healthcare networks must have a flexible and effective structure. In this study, we develop a viable healthcare network design for a pandemic using a multi-stage stochastic approach. We propose a multi-level network that includes health centers, computed tomography scan centers, hospitals, and clinics. Patients have conditions to returning to normal life or quarantining at home. Three objectives are defined: maximizing the probability of patient recovery, minimizing the costs of all centers in the network, and minimizing the Coronavirus death rate. We investigate a real case study in Iran to demonstrate the model's applicability. Finally, we compare the healthcare supply chain network design in a pandemic with a normal situation to advise how the network can continue to remain viable.