A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms

作     者：Kamran, Mehdi A. Kia, Reza Goodarzian, Fariba Ghasemi, Peiman 

作者机构：German Univ Technol Fac Business & Econ Dept Logist Tourism & Serv Management Muscat Oman Urmia Univ Technol Dept Ind Engn Orumiyeh Iran Birmingham City Univ Fac Comp Engn & Built Environm Sch Engn & Built Environm Dept Engn Curzon St Birmingham B4 7XG England Univ Seville Sch Engn Engn Grp Camino Descubrimientos S-N Seville 41092 Spain 

出 版 物：《SOCIO-ECONOMIC PLANNING SCIENCES》 (社会－经济计划科学)

年 卷 期：2023年第85卷

页      面：101378页

核心收录：

学科分类：0303[法学-社会学] 12[管理学] 1204[管理学-公共管理] 03[法学] 0201[经济学-理论经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 030301[法学-社会学] 

主　　题：Vaccine supply chain Stochastic optimization Simulation model Desirability for the vaccination Distribution -location -allocation Distributive justice Artificial intelligence algorithm 

摘      要：With the discovery of the COVID-19 vaccine, what has always been worrying the decision-makers is related to the distribution management, the vaccination centers location, and the inventory control of all types of vaccines. As the COVID-19 vaccine is highly demanded, planning for its fair distribution is a must. University is one of the most densely populated areas in a city, so it is critical to vaccinate university students so that the spread of this virus is curbed. As a result, in the present study, a new stochastic multi-objective, multi-period, and multicommodity simulation-optimization model has been developed for the COVID-19 vaccine s production, distribution, location, allocation, and inventory control decisions. In this study, the proposed supply chain network includes four echelons of manufacturers, hospitals, vaccination centers, and volunteer vaccine students. Vaccine manufacturers send the vaccines to the vaccination centers and hospitals after production. The students with a history of special diseases such as heart disease, corticosteroids, blood clots, etc. are vaccinated in hospitals because of accessing more medical care, and the rest of the students are vaccinated in the vaccination centers. Then, a system dynamic structure of the prevalence of COVID -19 in universities is developed and the vaccine demand is estimated using simulation, in which the demand enters the mathematical model as a given stochastic parameter. Thus, the model pursues some goals, namely, to minimize supply chain costs, maximize student desirability for vaccination, and maximize justice in vaccine distribution. To solve the proposed model, Variable Neighborhood Search (VNS) and Whale Optimization Algorithm (WOA) algorithms are used. In terms of novelties, the most important novelties in the simulation model are considering the virtual education and exerted quarantine effect on estimating the number of the vaccines. In terms of the mathematical model, one of the remarkable c