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Modelling the barriers of Indian pharmaceutical supply chain using fuzzy AHP

Author

Listed:
  • Vinayak Vishwakarma
  • Chandra Prakash Garg
  • Mukesh Kumar Barua

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.

Suggested Citation

  • Vinayak Vishwakarma & Chandra Prakash Garg & Mukesh Kumar Barua, 2019. "Modelling the barriers of Indian pharmaceutical supply chain using fuzzy AHP," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 34(2), pages 240-268.
    • Handle: RePEc:ids:ijores:v:34:y:2019:i:2:p:240-268
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    Citations

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    Cited by:

    1. Chandra Prakash Garg & Vishal Kashav & Xuemuge Wang, 2023. "Evaluating sustainability factors of green ports in China under fuzzy environment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7795-7821, August.
    2. Vishal Kashav & Chandra Prakash Garg & Rupesh Kumar, 2023. "Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment," Annals of Operations Research, Springer, vol. 324(1), pages 1223-1268, May.
    3. Yadav, Amit Kumar & Shweta, & Kumar, Dinesh, 2023. "Blockchain technology and vaccine supply chain: Exploration and analysis of the adoption barriers in the Indian context," International Journal of Production Economics, Elsevier, vol. 255(C).
    4. Ramkrishna S. Bharsakade & Padmanava Acharya & L. Ganapathy & Manoj K. Tiwari, 2021. "A lean approach to healthcare management using multi criteria decision making," OPSEARCH, Springer;Operational Research Society of India, vol. 58(3), pages 610-635, September.
    5. K. N. S. Venkata Ramana & Raghunathan Krishankumar & Maja Sudjicki Trzin & P. P. Amritha & Dragan Pamucar, 2022. "An Integrated Variance-COPRAS Approach with Nonlinear Fuzzy Data for Ranking Barriers Affecting Sustainable Operations," Sustainability, MDPI, vol. 14(3), pages 1-18, January.
    6. Amit K Chattopadhyay & Biswajit Debnath & Rihab El-Hassani & Sadhan Kumar Ghosh & Rahul Baidya, 2020. "Cleaner Production in Optimized Multivariate Networks: Operations Management through a Roll of Dice," Papers 2003.00884, arXiv.org.
    7. R. Krishankumar & P. P. Amritha & K. S. Ravichandran, 2022. "RETRACTED ARTICLE: An integrated fuzzy decision model for prioritization of barriers affecting sustainability adoption within supply chains under unknown weight context," Operations Management Research, Springer, vol. 15(3), pages 1010-1027, December.
    8. Seddigh, Mohammad Reza & Targholizadeh, Aida & Shokouhyar, Sajjad & Shokoohyar, Sina, 2023. "Social media and expert analysis cast light on the mechanisms of underlying problems in pharmaceutical supply chain: An exploratory approach," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

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