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Interventions in demand and supply sides for vaccine supply chain: An analysis on monkeypox vaccine

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  • Sayarshad, Hamid R.

Abstract

After a pandemic, all countries experience a shortage in vaccine supply due to limited vaccine stocks and production capacity globally. One particular problem is that it is hard to predict demands for vaccines during the global crisis. On the other hand, vaccines are usually made and packaged in different places, raising logistical issues and concerns that can further delay distribution. In this paper, we propose an optimization formulation model to link infectious disease dynamics and supply chain networks considering a one-to-one relationship between demand and supply for vaccines. We focus on designing a vaccine coordination system using government subsidy that considers the equilibrium behaviors of manufacturers under an actual demand for the vaccine. This study evaluates vaccine manufacturers and government behaviors that help the vaccine market to reach the socially optimal. Different decisions, such as vaccine demands and vaccine production and distribution are investigated. A study of the monkeypox pandemic in the U.S. is performed to validate our model and its results. The obtained results from testing the proposed system problem revealed that the vaccine coverage increased by up to 35%, while the unmet demand reduced by up to 60%, in comparison to when vaccine manufacturers act individually.

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  • Sayarshad, Hamid R., 2023. "Interventions in demand and supply sides for vaccine supply chain: An analysis on monkeypox vaccine," Operations Research Perspectives, Elsevier, vol. 11(C).
    • Handle: RePEc:eee:oprepe:v:11:y:2023:i:c:s2214716023000209
    DOI: 10.1016/j.orp.2023.100285
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    1. Kenan Arifoglu & Sarang Deo & Seyed M. R. Iravani, 2012. "Consumption Externality and Yield Uncertainty in the Influenza Vaccine Supply Chain: Interventions in Demand and Supply Sides," Management Science, INFORMS, vol. 58(6), pages 1072-1091, June.
    2. Zhenghao Fan & Xiaolei Xie, 2022. "A distributionally robust optimisation for COVID-19 testing facility territory design and capacity planning," International Journal of Production Research, Taylor & Francis Journals, vol. 60(13), pages 4229-4252, July.
    3. Savachkin, Alex & Uribe, Andrés, 2012. "Dynamic redistribution of mitigation resources during influenza pandemics," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 33-45.
    4. Shamsi G., N. & Ali Torabi, S. & Shakouri G., H., 2018. "An option contract for vaccine procurement using the SIR epidemic model," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1122-1140.
    5. Rachaniotis, Nikolaos P. & Dasaklis, Tom K. & Pappis, Costas P., 2012. "A deterministic resource scheduling model in epidemic control: A case study," European Journal of Operational Research, Elsevier, vol. 216(1), pages 225-231.
    6. Wang, Xin & Jiang, Ruiwei & Qi, Mingyao, 2023. "A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply," Omega, Elsevier, vol. 119(C).
    7. Ming Liu & Ding Zhang, 2016. "A dynamic logistics model for medical resources allocation in an epidemic control with demand forecast updating," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(6), pages 841-852, June.
    8. Mahmud, Priom & Ahmed, Mushaer & Janan, Farhatul & Xames, Md Doulotuzzaman & Chowdhury, Naimur Rahman, 2023. "Strategies to develop a sustainable and resilient vaccine supply chain in the context of a developing economy," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    9. Sanjay Mehrotra & Hamed Rahimian & Masoud Barah & Fengqiao Luo & Karolina Schantz, 2020. "A model of supply‐chain decisions for resource sharing with an application to ventilator allocation to combat COVID‐19," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(5), pages 303-320, August.
    10. Settanni, Ettore & Harrington, Tomás Seosamh & Srai, Jagjit Singh, 2017. "Pharmaceutical supply chain models: A synthesis from a systems view of operations research," Operations Research Perspectives, Elsevier, vol. 4(C), pages 74-95.
    11. Alam, Shahriar Tanvir & Ahmed, Sayem & Ali, Syed Mithun & Sarker, Sudipa & Kabir, Golam & ul-Islam, Asif, 2021. "Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals," International Journal of Production Economics, Elsevier, vol. 239(C).
    12. Jahani, Hamed & Chaleshtori, Amir Eshaghi & Khaksar, Seyed Mohammad Sadegh & Aghaie, Abdollah & Sheu, Jiuh-Biing, 2022. "COVID-19 vaccine distribution planning using a congested queuing system—A real case from Australia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    13. Muckstadt, John A. & Klein, Michael G. & Jackson, Peter L. & Gougelet, Robert M. & Hupert, Nathaniel, 2023. "Efficient and effective large-scale vaccine distribution," International Journal of Production Economics, Elsevier, vol. 262(C).
    14. Zhang, Xuefeng & Li, Zhe & Li, Guo, 2023. "Impacts of blockchain-based digital transition on cold supply chains with a third-party logistics service provider," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    15. Miles Lubin & Iain Dunning, 2015. "Computing in Operations Research Using Julia," INFORMS Journal on Computing, INFORMS, vol. 27(2), pages 238-248, May.
    16. Yang, Chih-Hao & Hsu, Wei & Wu, Yong-Lin, 2022. "A hybrid multiple-criteria decision portfolio with the resource constraints model of a smart healthcare management system for public medical centers," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    17. Rey, David & Hammad, Ahmed W. & Saberi, Meead, 2023. "Vaccine allocation policy optimization and budget sharing mechanism using reinforcement learning," Omega, Elsevier, vol. 115(C).
    18. Ming Liu & Xifen Xu & Jie Cao & Ding Zhang, 2020. "Integrated planning for public health emergencies: A modified model for controlling H1N1 pandemic," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(5), pages 748-761, May.
    19. Stephen E. Chick & Hamed Mamani & David Simchi-Levi, 2008. "Supply Chain Coordination and Influenza Vaccination," Operations Research, INFORMS, vol. 56(6), pages 1493-1506, December.
    20. Sengul Orgut, Irem & Freeman, Nickolas & Lewis, Dwight & Parton, Jason, 2023. "Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints," Omega, Elsevier, vol. 120(C).
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