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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/10784
Title: A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries
Authors: Chandra D.
Kumar D.
Published in: Expert Review of Vaccines
Abstract: 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. © 2017 Informa UK Limited, trading as Taylor & Francis Group.
Citation: Expert Review of Vaccines (2018), 17(3): 263-281
URI: https://doi.org/10.1080/14760584.2018.1403322
http://repository.iitr.ac.in/handle/123456789/10784
Issue Date: 2018
Publisher: Taylor and Francis Ltd
Keywords: developing countries
factors
fuzzy MICMAC
immunization
issues
supply chain
Vaccine
ISSN: 14760584
Author Scopus IDs: 57197728001
57202478211
Author Affiliations: Chandra, D., Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Kumar, D., Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Funding Details: In a first step, databases for the study were selected which includes Elsevier, Springer, Scopus, Taylor & Francis Online, Inderscience, Ebsco, Mendeley, National Center for Biotechnology Information, and Web of Science due to the availability of high volume of indexed papers. Two important keywords of the study (vaccine and immunization) were performed on the databases, and 11 journals/libraries emerged and served as the basis for the literature survey. These are Vaccine, Expert Review of Vaccines, Operations Research for Health Care, Chemical Engineering Research and Design, PubMed, PubMed Central (PMC), BioMed Central, IEE Pervasive Computing, Bulletin of the World Health Organization, Health Affairs, and National Journal of Community Medicine. Additionally, Google search for white papers, presentations, and annual reports was also performed with the same keywords. Thus, websites/documents of important organizations WHO, WHO’sEVM Tool, UNICEF, PATH, Project Optimize (the five years’ collaborative project between WHO, PATH Institute and Gates Foundation), Ministry of Health & Family Welfare (Government of India), Centers for Disease Control and Prevention (CDC), Center for Global Development (CGD), and GAVI were selected for the study.
Corresponding Author: Chandra, D.; Department of Mechanical and Industrial Engineering, Indian Institute of Technology RoorkeeIndia; email: dclucky32633@gmail.com
Appears in Collections:Journal Publications [ME]

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