Abstract
Vaccination is the best way to build an immune barrier to control a new infectious disease. Considering the limited production capacity at the initial stage of vaccine production, the problem of multistage vaccine production and allocation is studied under the policy of free treatment for infected patients by the government. Given the population and infection rates of different regions and the vaccine production capacity of each stage, an integer programming model is established to minimize the sum of production-and-vaccination cost and treatment cost of infected patients, which is solved by the GUROBI solver. The correctness of the model is verified by simulation, and the necessity of considering the treatment cost of infected patients in the objective function is further analyzed, which confirmed the correctness of the free treatment policy for patients in China. A heuristic algorithm is designed to solve the large-scale problem and numerical experiments are conducted to verify the efficiency of this algorithm. Furthermore, based on the sensitivity analysis results of parameters, the optimal vaccine production and allocation strategy are proposed, which provide the decision basis for the government departments to make reasonable vaccine production and vaccination plan.
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This research was jointly supported by Bei**g Natural Science Foundation under Grant Nos. 9212004 and Z180005, the National Natural Science Foundation of China under Grant No. 71771028, Municipal University’s High-Level Innovation Team Construction Program in 2018 under Grant No. IDHT20180510, Precision and Advanced Subject Construction Foundation (Municipal Level), and Capital University of Economics and Business Student Academic Newcomer under Grant No. 2022XSXR06.
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Han, Q., Zhang, Y., Li, Z. et al. Study on the Problem of Multistage Vaccine Production and Allocation with Capacity Constraints. J Syst Sci Complex 36, 2046–2066 (2023). https://doi.org/10.1007/s11424-023-2065-4
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DOI: https://doi.org/10.1007/s11424-023-2065-4