A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries
Introduction: In recent years, demand to improve child immunization coverage globally, and the development of the latest vaccines and technology has made the vaccine market very complex. The rise in such complexities often gives birth to numerous issues in the vaccine supply chain, which are the pri...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2018-03-01
|
| Series: | Expert Review of Vaccines |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/14760584.2018.1403322 |
| _version_ | 1797680452864049152 |
|---|---|
| author | Dheeraj Chandra Dinesh Kumar |
| author_facet | Dheeraj Chandra Dinesh Kumar |
| author_sort | Dheeraj Chandra |
| collection | DOAJ |
| description | Introduction: In recent years, demand to improve child immunization coverage globally, and the development of the latest vaccines and technology has made the vaccine market very complex. The rise in such complexities often gives birth to numerous issues in the vaccine supply chain, which are the primary cause of its poor performance. Figuring out the cause of the performance problem can help you decide how to address it. The goal of the present study is to identify and analyze important issues in the supply chain of basic vaccines required for child immunization in the developing countries. Research Design & Methods: Twenty-five key issues as various factors of the vaccine supply chain have been presented in this paper. Fuzzy MICMAC analysis has been carried out to classify the factors based on their driving and dependence power and to develop a hierarchy based model. Further, the findings have been discussed with the field experts to identify the critical factors. Results & Conclusion: Three factors: better demand forecast, communication between the supply chain members, and proper planning and scheduling have been identified as the critical factors of vaccine supply chain. These factors should be given special care to improve vaccine supply chain performance. |
| first_indexed | 2024-03-11T23:29:14Z |
| format | Article |
| id | doaj.art-d6ed273a41024936afd4ad99ea622fef |
| institution | Directory Open Access Journal |
| issn | 1476-0584 1744-8395 |
| language | English |
| last_indexed | 2024-03-11T23:29:14Z |
| publishDate | 2018-03-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Expert Review of Vaccines |
| spelling | doaj.art-d6ed273a41024936afd4ad99ea622fef2023-09-20T10:18:03ZengTaylor & Francis GroupExpert Review of Vaccines1476-05841744-83952018-03-0117326328110.1080/14760584.2018.14033221403322A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countriesDheeraj Chandra0Dinesh Kumar1Indian Institute of Technology RoorkeeIndian Institute of Technology RoorkeeIntroduction: In recent years, demand to improve child immunization coverage globally, and the development of the latest vaccines and technology has made the vaccine market very complex. The rise in such complexities often gives birth to numerous issues in the vaccine supply chain, which are the primary cause of its poor performance. Figuring out the cause of the performance problem can help you decide how to address it. The goal of the present study is to identify and analyze important issues in the supply chain of basic vaccines required for child immunization in the developing countries. Research Design & Methods: Twenty-five key issues as various factors of the vaccine supply chain have been presented in this paper. Fuzzy MICMAC analysis has been carried out to classify the factors based on their driving and dependence power and to develop a hierarchy based model. Further, the findings have been discussed with the field experts to identify the critical factors. Results & Conclusion: Three factors: better demand forecast, communication between the supply chain members, and proper planning and scheduling have been identified as the critical factors of vaccine supply chain. These factors should be given special care to improve vaccine supply chain performance.http://dx.doi.org/10.1080/14760584.2018.1403322vaccineimmunizationsupply chaindeveloping countriesissuesfactorsfuzzy micmac |
| spellingShingle | Dheeraj Chandra Dinesh Kumar A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries Expert Review of Vaccines vaccine immunization supply chain developing countries issues factors fuzzy micmac |
| title | A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries |
| title_full | A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries |
| title_fullStr | A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries |
| title_full_unstemmed | A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries |
| title_short | A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries |
| title_sort | fuzzy micmac analysis for improving supply chain performance of basic vaccines in developing countries |
| topic | vaccine immunization supply chain developing countries issues factors fuzzy micmac |
| url | http://dx.doi.org/10.1080/14760584.2018.1403322 |
| work_keys_str_mv | AT dheerajchandra afuzzymicmacanalysisforimprovingsupplychainperformanceofbasicvaccinesindevelopingcountries AT dineshkumar afuzzymicmacanalysisforimprovingsupplychainperformanceofbasicvaccinesindevelopingcountries AT dheerajchandra fuzzymicmacanalysisforimprovingsupplychainperformanceofbasicvaccinesindevelopingcountries AT dineshkumar fuzzymicmacanalysisforimprovingsupplychainperformanceofbasicvaccinesindevelopingcountries |