EconPapers    
Economics at your fingertips  
 

Modelling the barriers of Indian pharmaceutical supply chain using fuzzy AHP

Vinayak Vishwakarma, Chandra Prakash Garg and Mukesh Kumar Barua

International Journal of Operational Research, 2019, vol. 34, issue 2, 240-268

Abstract: Due to the profound discrepancy in the developing country's production, which possibly affects the quality of producing medicine, harms patient's health. The pharmaceutical supply chain has been challenged by the barriers especially in the context of developing nations like India. The identification of barriers is desired to enhance the performance of the industry. This study identifies 28 barriers under six major criteria of Indian PSC through relevant literature and expert's opinions. This paper proposes a hybrid model based on fuzzy AHP to prioritised rank barriers in PSC. This approach is best for analysing experts' judgments and uncertainty involved in the process of prioritisation. The findings and framework developed could be used by the drug industry, which helps them to destroy barriers to addressing sustainability and quality manufacturing. The results indicate that market-related barriers are the most important for Indian PSC. Further sensitivity analysis is performed to test the robustness of the proposed approach.

Keywords: pharmaceutical supply chain; PSC; barriers; fuzzy-AHP; sensitivity analysis; India. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.inderscience.com/link.php?id=97578 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:34:y:2019:i:2:p:240-268

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijores:v:34:y:2019:i:2:p:240-268