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Cold chain transportation decision in the vaccine supply chain

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  • Lin, Qi
  • Zhao, Qiuhong
  • Lev, Benjamin

Abstract

Vaccines are a special kind of drug, the quality of which is highly sensitive to temperature and directly related to public health. Recently, numerous vaccine-related adverse events have occurred in the world, especially in developing countries, due to vaccines being exposed to inappropriate temperatures during their transportation. This paper considers the vaccine supply chain including a distributor and a retailer (hospital or clinic). The distributor decides to use a cold chain or non-cold chain to transport the vaccines. The retailer performs an inspection when receiving the vaccines. First, a basic model is developed to study the conditions under which the distributor will transport the vaccines via a cold chain or non-cold chain. Then, two common inspection policies (a single-step one and a two-step one) are introduced into the basic model to explore the impact of the retailer's inspection at the end of transportation on the distributor's original decision. We show that the retailer's single-step inspection influences the distributor to choose the cold chain option. Interestingly, we prove that the two-step inspection policy is less effective than the single-step one in this effect. We suggest that the retailer's role in improving the distributor's non-cold chain transportation behavior should be fully used.

Suggested Citation

  • Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2020. "Cold chain transportation decision in the vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 283(1), pages 182-195.
    • Handle: RePEc:eee:ejores:v:283:y:2020:i:1:p:182-195
    DOI: 10.1016/j.ejor.2019.11.005
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    Cited by:

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    11. Hafiz Wasim Akram & Samreen Akhtar & Alam Ahmad & Imran Anwar & Mohammad Ali Bait Ali Sulaiman, 2023. "Developing a Conceptual Framework Model for Effective Perishable Food Cold-Supply-Chain Management Based on Structured Literature Review," Sustainability, MDPI, vol. 15(6), pages 1-28, March.
    12. 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).
    13. Yadav, Amit Kumar & Shweta, & Kumar, Dinesh, 2023. "Blockchain technology and vaccine supply chain: Exploration and analysis of the adoption barriers in the Indian context," International Journal of Production Economics, Elsevier, vol. 255(C).
    14. Fariba Goodarzian & Ali Navaei & Behdad Ehsani & Peiman Ghasemi & Jesús Muñuzuri, 2023. "Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions," Annals of Operations Research, Springer, vol. 328(1), pages 531-575, September.
    15. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    16. 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).
    17. Manupati, Vijaya Kumar & Schoenherr, Tobias & Subramanian, Nachiappan & Ramkumar, M. & Soni, Bhanushree & Panigrahi, Suraj, 2021. "A multi-echelon dynamic cold chain for managing vaccine distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    18. 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).
    19. Liu, Chao & Chen, Weidong & Zhou, Qian & Mu, Jing, 2021. "Modelling dynamic freshness-keeping effort over a finite time horizon in a two-echelon online fresh product supply chain," European Journal of Operational Research, Elsevier, vol. 293(2), pages 511-528.
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