A location-allocation model for influenza pandemic outbreaks: A case study in India

作     者：Devi, Yashoda Patra, Sabyasachi Singh, Surya Prakash 

作者机构：Indian Inst Management Kashipur Operat Management Sr Decis Sci Kashipur 244713 Uttarakhand India Indian Inst Technol Delhi Dept Management Studies Delhi India 

出 版 物：《OPERATIONS MANAGEMENT RESEARCH》 (经营管理研究)

年 卷 期：2022年第15卷第1-2期

页      面：487-502页

核心收录：

学科分类：12[管理学] 120202[管理学-企业管理（含：财务管理、市场营销、人力资源管理）] 0202[经济学-应用经济学] 02[经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

主　　题：Healthcare facility location Mixed-integer linear programming Pandemic outbreak Healthcare in developing countries 

摘      要：Previous pandemics in 1918, 1957, 1968, and the ongoing COVID-19 pandemic have provided sufficient evidence of health concerns caused by influenza pandemics. The existing health care system is overwhelmed by the surging demand of susceptible and infected individuals due to the COVID-19 outbreak. It is crucial to identify and isolate infected individuals to prevent pandemic spread. Thus, a mixed-integer linear programming model is proposed in this study for the location-allocation of health care facility networks (i.e., temporary testing laboratories). The objective of this study is to ensure that test samples from various geographical locations reach testing laboratories as soon as possible and at minimum cost to ensure timely testing. Hence, the proposed model has two objectives: (i) minimization of the total cost and (ii) minimization of the maximum travel time from a patient node to a testing facility. Furthermore, to prevent capacity underutilization, the capacity of temporary testing laboratories is tailored in the model. A case study in Maharashtra, India, is used to demonstrate the real-life applicability of the proposed model. The study results has interesting implications for decision- and policy-makers.