مدل‌سازی تخصیص واکسن مبتنی بر تمایل و دسترسی: مطالعه موردی واکسن کرونا

نوع مقاله : پژوهشی

نویسندگان

1 استادیار مهندسی صنایع دانشکده فنی مهندسی گرگان، دانشگاه گلستان، گرگان، ایران

2 دانش ‌آموخته مهندسی صنایع دانشکده فنی مهندسی گرگان، دانشگاه گلستان، گرگان، ایران

چکیده

توسعه فناوری‌های نوین برای تولید واکسن کرونا به دلیل وجود محدودیت زمانی در فرآیند ساخت و همراه شدن آن با گزارش‌های متنوع رسانه‌ای، منجر به ایجاد برداشت‌های متفاوتی نسبت به اثربخشی و عوارض نشان های تجاری مختلف واکسن در بین افراد شده است. این موضوع نشان می‌دهد که درک افراد از کیفیت و مطلوبیت نشان تجاری واکسن، می تواند نقش مهمی در تمایل آن‌ها به تزریق ایفا کند. پژوهش حاضر بر بررسی تأثیر اقدامات لجستیکی در توزیع عادلانه نشان های تجاری مختلف واکسن تمرکز دارد و هدف آن افزایش میزان تزریق و در نهایت مدیریت بهتر همه‌گیری است. در این تحقیق، سه مدل ریاضی برای شبیه‌سازی رفتار مصرف‌کنندگان طراحی شده است: مدل اول تمایلات افراد به نشان تجاری خاص واکسن را در نظر نمی‌گیرد؛ مدل دوم این تمایلات را لحاظ می‌کند؛ و مدل سوم علاوه بر تمایلات، واکنش افراد در صورت عدم دسترسی به نشان تجاری موردنظر را نیز بررسی می‌کند. در همه مدل‌ها، کاهش شیوع بیماری، توجه به مناطق پرجمعیت، و کاهش پیامدهای اجتماعی ناشی از همه‌گیری، اولویت اصلی است. نتایج نشان می‌دهد که این مدل‌ها می‌توانند به توزیع عادلانه واکسن در کشور کمک کرده و در نهایت به مدیریت بهتر شیوع بیماری و کاهش آثار اجتماعی آن منجر شوند.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Optimized Vaccine Allocation Based on Preferences and Access: Case of COVID-19

نویسندگان [English]

  • Mohammad Mohajer Tabrizi 1
  • Tooba Darvishmohammadi 2
1 Assistant professor of industrial engineering, Gorgan faculty of engineering, Golestan University, Gorgan, Iran
2 Graduated in Industrial Engineering, Gorgan Faculty of Engineering, Golestan University, Gorgan, Iran
چکیده [English]

The development of new technologies for producing COVID-19 vaccines, due to time constraints in the   production process and the influence of diverse media reports, has led to varying perceptions among individuals regarding the efficacy and side effects of different vaccine brands. This highlights that individuals' understanding of the quality and desirability of a vaccine brand can play a significant role in their willingness to receive it. This study focuses on examining the impact of logistical measures on the   equitable distribution of various vaccine brands, aiming to increase vaccination rates and ultimately achieve better pandemic management. In this research, three mathematical models were designed to      simulate consumer behavior: the first model does not consider individuals' preferences for a specific  vaccine brand; the second model takes these preferences into account; and the third model, in addition to preferences, examines individuals' reactions when their preferred vaccine brand is unavailable. In all   models, the primary priorities are reducing the spread of the disease, focusing on densely populated areas, and mitigating the social consequences of the pandemic. Results reveal that these models can facilitate   equitable distribution of vaccines across the country, contributing to improved disease control and a  reduction in the social impacts of the pandemic.
 

کلیدواژه‌ها [English]

  • Logistical Measures
  • Equitable Vaccine Distribution
  • Brand Preference
  • Pandemic Experiences

Smiley face

مراجع

  • D. Siadat, A. Rahimi, and A. Fateh, "strategies of vaccine production against COVID-19: When will an effective vaccine be produced?" Islamic Azad Univ. Med. J., vol. 31, no. 1, pp. 29-38, 2021. doi: [10.52547/iau.31.1.29]
  • Sallam, "COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates," Vaccines, vol. 9, 160, 2021. doi: [10.3390/vaccines9020160]
  • Tavousi et al., " Development and validation of a short instrument for measuring attitude towards Covid-19 vaccination: The covid-19 vaccination attitude scale for adults (Co-VASA)" Payesh, vol. 21, no. 1, pp. 91-99, 2022.
  • Tavousi et al., " Development and validation of a short instrument for measuring attitude towards Covid-19 vaccination: The covid-19 vaccination attitude scale for adults (Co-VASA)" Payesh, vol. 21, no. 1, pp. 91-99, 2022.
  • Taherinia and A. Hasanvand, "Economic consequences of COVID-19 disease on the Iranian economy; With an emphasis on employment" Nurs. Manag. J., vol. 9, no. 3, pp. 43-58, 2020.
  • Kolivand and H. Kazemi, "The effects of COVID-19 on mental health, socio-economic issues, and social interactions in Tehran: A pilot study," Shefaye Khatam Neurosci. J., vol. 9, no. 2, pp. 100-110, 2021. doi: [10.52547/shefa.9.2.100]
  • Eroğlu, "Effects of COVID-19 outbreak on environment and renewable energy sector," Environ. Dev. Sustain., vol. 23, pp. 4782–4790, 2021. doi: [10.1007/s10668-00837-4]
  • L. Turabian, "Implications on mental health by the coronavirus disease 2019 (COVID-19) pandemic: The role of general practitioner," Arch. Psychiatr. Ment. Health, vol. 4, pp. 035-041, 2020. doi: [10.29328/journal.apmh.1001016]
  • Tavousi et al., " Development and validation of a short instrument for measuring attitude towards Covid-19 vaccination: The covid-19 vaccination attitude scale for adults (Co-VASA)" Payesh, vol. 21, no. 1, pp. 91-99, 2022.
  • Tavousi et al., " Development and validation of a short instrument for measuring attitude towards Covid-19 vaccination: The covid-19 vaccination attitude scale for adults (Co-VASA)" Payesh, vol. 21, no. 1, pp. 91-99, 2022.
  • Khankeh et al., "National survey on COVID-19 vaccination acceptance and its associated factors: Rapid assessment and recommendation challenges" (Report of Research Project), University of Rehabilitation Sciences and Social Health, 2021.
  • Tamimi, R. Tahmasbi, A. Darabi, and A. Norouzi, " The Predictive Role of vaccination literacy and vaccine hesitancy on acceptance of COVID-19 vaccination," J. South Med., vol. 24, no. 6, pp. 597-609, 2021. doi: [10.52547/ismj.24.6.597]
  • Nakhostin-Ansari et al., "Acceptance or Rejection of the COVID-19 Vaccine: A Study on Iranian People’s Opinions toward the COVID-19 Vaccine," Vaccines, vol. 10, 670, 2022. doi: [10.3390/vaccines10050670]
  • D. Tran et al., "Determinants of COVID-19 vaccine acceptance in a high infection-rate country: a cross-sectional study in Russia," Pharmacy Practice, vol. 19, no. 1, 2276, 2021. doi: [10.18549/PharmPract.2021.1.2276]
  • Mehdipour Mir, S. A. Torabi, "Vaccine distribution network Design (with a case study)," M.S. thesis, University of Tehran, 2016.
  • Mahmoodi, M. Rafiee, "Inventory management and distribution of influenza vaccines through a healthcare supply chain," M.S. thesis, Khatam Non-Profit University, 2017.
  • Deyrang and M. Jabalameli, "A robust approach to designing vaccine supply chain network under uncertainty (case study)," M.S. thesis, Iran University of Science and Technology, 2020.
  • M. Hashemi, M. Javadi, R. Soltani, and A. Vaezi, "An optimization model for supply chain of influenza vaccines under certainty," 10th Int. Oper. Res. Assoc. Conf., Mazandaran, May, 2017, pp. 1-10.
  • Khaligh, R. Soltani, and M. S. Pishvaei, "A dynamic multi-objective model for designing multi-product logistics network for child vaccine distribution," 15th Int. Ind. Eng. Conf., Yazd, jan., 2019, pp. 1-11.
  • Yu et al., "Efficient Vaccine Distribution Based on a Hybrid Compartmental Model," PLoS ONE, vol. 11, no. 5, e0155416, May, 2016. doi: [10.1371/journal.pone.0155416]
  • Mohammadi et al., "Bi-objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID-19 pandemic," Omega, vol. 113, 102725, Dec., 2022. doi: [10.1016/j.omega.2022.102725]
  • Chen, M. Li, D. Simchi-Levi, and T. Zhao, "Allocation of COVID-19 vaccines under limited supply," MedRxiv, 2020. doi: [10.1101/2020.08.23.20179820]
  • Abbasi, M. Fadaki, O. Kokshagina, N. Saeed, and P. Chhetri, "Modeling vaccine allocations in the COVID-19 pandemic: A case study in Australia", Dec., 2020, [10.2139/ssrn.3744520].
  • Aghababaei, M. S. Pishvaee, and F. Barzinpour, "A two-stage fuzzy optimization model for scarce drugs supply and ration planning under uncertainty: A case study," Appl. Soft Comput., vol. 81, 105514, Aug., 2019. doi: [10.1016/j.asoc.2019.105514]
  • Aghababaei, M. S. Pishvaee, and F. Barzinpour, "A fuzzy bi-level programming approach to scarce drugs supply and ration planning problem under risk," Fuzzy Sets Syst., vol. 434, pp. 48-72, 2022. doi: [10.1016/j.fss.2021.02.021]
  • Ghanbarian and H. Sarraf Joshaghani, "The Impact of Coronavirus on the Defense Supply Chain," Supply Chain Manag., vol. 21, no. 65, pp. 89-96, 2020. dor: [20.1001.1.20089198.1398.21.65.7.5]. In Persian.
  • Barzegar, H. A. Hassanpour, Sh. Aliyari, H. Ghaffari Touran, and J. Hassannejad, "Interpretive Structural Modeling of Operational Clothing Supply Chain Disruptions in a Defense Organization," Supply Chain Manag., vol. 23, no. 73, pp. 53-61, 2022. dor: [20.1001.1.20089198.1400.23.73.5.3], In Persian.
  • Khoje, T. Darvish Mohammadi, and M. Mohajer Tabrizi, "Designing a Drug Supply Chain: An Integrated Approach," Supply Chain Manag., vol. 24, no. 77, pp. 55-70, 2022. dor: [20.1001.1.20089198.1401.24.77.4.7]. In Persian.
  • Mavrotas, "Effective implementation of the ε-constraint method in multi-objective mathematical programming problems," Appl. Math. Comput., vol. 213, no. 2, pp. 455-465, 2009. doi: [10.1016/j.amc.2009.03.037]
مدیریت زنجیره تأمین
دوره 26، شماره 85 - شماره پیاپی 85
شماره پیا پی 85 زمستان 1403
اسفند 1403
صفحه 47-68

فایل ها

سابقه مقاله

  • تاریخ دریافت: 08 آذر 1403
  • تاریخ بازنگری: 17 دی 1403
  • تاریخ پذیرش: 23 بهمن 1403
  • تاریخ انتشار: 20 اسفند 1403

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