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Modelling the barriers of Indian pharmaceutical supply chain using fuzzy AHP

机译:模糊AHP对印度药物供应链的屏障建模

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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.
机译:由于发展中国家生产中的深刻差异,这可能影响生产医学质量,危害患者的健康。制药供应链受到屏障的挑战,特别是在印度等发展中国家的背景下。希望识别屏障来增强行业的性能。本研究通过相关文献和专家的意见确定了印度PSC的六个主要标准的28个障碍。本文提出了一种基于模糊AHP的混合模型,在PSC中的优先级别障碍。这种方法最适合分析专家的判断和参与优先级过程的不确定性。制造的调查结果和框架可以由药业使用,这有助于他们破坏解决可持续性和质量制造的障碍。结果表明,市场相关的障碍对印度PSC最重要。进行进一步的灵敏度分析以测试所提出的方法的稳健性。

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