An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy Process
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 transportatio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/18/3914 |
| _version_ | 1797578953583493120 |
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| author | Hung-Lung Lin Yu-Yu Ma Chin-Tsai Lin |
| author_facet | Hung-Lung Lin Yu-Yu Ma Chin-Tsai Lin |
| author_sort | Hung-Lung Lin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T22:29:57Z |
| format | Article |
| id | doaj.art-61a24859c1434f8492b2c0def10077c3 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T22:29:57Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-61a24859c1434f8492b2c0def10077c32023-11-19T11:49:20ZengMDPI AGMathematics2227-73902023-09-011118391410.3390/math11183914An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy ProcessHung-Lung Lin0Yu-Yu Ma1Chin-Tsai Lin2School of Economics and Management, Sanming University, No. 25, Ching-Tung Rd., Sanming 365004, ChinaSchool of Education Science and Psychology, Minnan Normal University, No. 36, Shì Qian Zhi St., Zhangzhou 363000, ChinaDepartment of Business Administration, Ming Chuan University, 250 Zhong Shan North Road, Section 5, Taipei 111, TaiwanCOVID-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.https://www.mdpi.com/2227-7390/11/18/3914COVID-19 vaccinescold-chain transportationtransportation safety and qualitymodified Delphi method (MDM)fuzzy analytic hierarchy process (FAHP)fuzzy sensitivity |
| spellingShingle | Hung-Lung Lin Yu-Yu Ma Chin-Tsai Lin An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy Process Mathematics COVID-19 vaccines cold-chain transportation transportation safety and quality modified Delphi method (MDM) fuzzy analytic hierarchy process (FAHP) fuzzy sensitivity |
| title | An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy Process |
| title_full | An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy Process |
| title_fullStr | An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy Process |
| title_full_unstemmed | An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy Process |
| title_short | An Evaluation System for COVID-19 Vaccine Transportation Quality Based on Fuzzy Analytic Hierarchy Process |
| title_sort | evaluation system for covid 19 vaccine transportation quality based on fuzzy analytic hierarchy process |
| topic | COVID-19 vaccines cold-chain transportation transportation safety and quality modified Delphi method (MDM) fuzzy analytic hierarchy process (FAHP) fuzzy sensitivity |
| url | https://www.mdpi.com/2227-7390/11/18/3914 |
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