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An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy Process

Author

Listed:
  • Hung-Lung Lin

    (School of Economics and Management, Sanming University, No. 25, Ching-Tung Rd., Sanming 365004, China)

  • Yu-Yu Ma

    (School of Education Science and Psychology, Minnan Normal University, No. 36, Shì Qian Zhi St., Zhangzhou 363000, China)

  • Chin-Tsai Lin

    (Department of Business Administration, Ming Chuan University, 250 Zhong Shan North Road, Section 5, Taipei 111, Taiwan)

Abstract

COVID-19 vaccines have become pivotal in combating the pandemic since 2019. However, risks stemming from human errors, equipment malfunctions, and emergencies during cold-chain transportation can jeopardize vaccine security without effective safety standards. To ensure COVID-19 vaccine transportation safety, efficiency, and quality while mitigating risks, this study employed the modified Delphi method (MDM) to create a cold-chain vaccine transportation quality evaluation system. With the fuzzy analytic hierarchy process (FAHP), it then ranked indicator importance. The system comprises 5 criteria and 26 sub-criteria, highlighting factors like local weather conditions, topography, road characteristics, cold-chain logistics standardization, and national economic development. These significantly impact vaccine transport quality and risk. Regional authorities are advised to address these high-priority indicators by enhancing equipment, refining operational procedures, strengthening monitoring, offering training, etc. This comprehensive approach could minimize potential transportation setbacks, ensuring vaccine safety and quality. Crucially, this system offers valuable insights for health policies, transportation bodies, and companies. It sets safety benchmarks for cold-chain vaccine transportation and can be extended to other vaccines or medicines. This contribution is pivotal for future vaccine transportation management.

Suggested Citation

  • Hung-Lung Lin & Yu-Yu Ma & Chin-Tsai Lin, 2023. "An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy Process," Mathematics, MDPI, vol. 11(18), pages 1-28, September.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:18:p:3914-:d:1240039
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    References listed on IDEAS

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    1. Scott DuHadway & Steven Carnovale & Benjamin Hazen, 2019. "Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery," Annals of Operations Research, Springer, vol. 283(1), pages 179-198, December.
    2. 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.
    3. Weibin Wang & Zeyu Xia, 2023. "Study of COVID-19 Epidemic Control Capability and Emergency Management Strategy Based on Optimized SEIR Model," Mathematics, MDPI, vol. 11(2), pages 1-31, January.
    4. Hung-Lung Lin & Yu-Yu Ma, 2021. "A New Method of Storage Management Based on ABC Classification: A Case Study in Chinese Supermarkets’ Distribution Center," SAGE Open, , vol. 11(2), pages 21582440211, June.
    5. Hung-Lung Lin & Yu-Yu Ma & Chin-Tsai Lin, 2021. "Evaluating Pallet Investment Strategy Using Fuzzy Analytic Network Process: A Case in Chinese Chain Supermarkets," Mathematics, MDPI, vol. 9(24), pages 1-26, December.
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    Cited by:

    1. Ghazi M. Magableh & Mahmoud Z. Mistarihi, 2024. "An Integrated Fuzzy MCDM Method for Assessing Crisis Recovery Strategies in the Supply Chain," Sustainability, MDPI, vol. 16(6), pages 1-26, March.

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