Evaluation of key indicators affecting the performance of healthcare supply chain agility

Mohammad Reza Rouhani-Tazangi, Mohammad Amin Khoei, D. Pamučar, Benyamin Feghhi
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引用次数: 1

Abstract

ABSTRACT In this study, essential factors of healthcare supply chain have been investigated. Factors were selected through an integrated approach, in which experts played a pivotal and decisive role in each phase. A novel hybrid methodology comprising Best-Worst-Method (BWM) and Interpretive structural modelling (ISM) is employed. Best-Worst-Method is utilised to determine the different weights of healthcare supply chain agility factors, and ISM and MICMAC analysis are utilising to examine interrelations among final selected factors. A case study in local pharmacies examined the effectiveness of the proposed hybrid model in the real world. The application of the hybrid BWM-ISM method demonstrates that ‘Proper IT infrastructure’ and ‘Strategic planning’ are the most significant factors, respectively. They will facilitate local pharmacies to accomplish agility practices in the healthcare supply chain thus, increasing effectiveness and adaptability to a variety of situations. This research helps public healthcare decision-makers by changing the organisation’s response to critical situations and unexpected events by implementing corrective measures within local pharmacies.
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对影响医疗保健供应链敏捷性绩效的关键指标进行评估
摘要本研究对医疗保健供应链的要素进行了研究。通过综合方法选择因素,其中专家在每个阶段都发挥关键和决定性作用。采用了一种由最佳-最差法(best - worst method, BWM)和解释结构模型(Interpretive structural modeling, ISM)组成的新型混合方法。采用最佳-最差方法确定医疗保健供应链敏捷性因素的不同权重,并利用ISM和MICMAC分析来检查最终选定因素之间的相互关系。本地药房的个案研究检验了所提出的混合模式在现实世界中的有效性。BWM-ISM混合方法的应用表明,“适当的IT基础设施”和“战略规划”分别是最重要的因素。它们将促进当地药房在医疗保健供应链中实现敏捷性实践,从而提高对各种情况的有效性和适应性。这项研究通过在当地药房实施纠正措施来改变组织对关键情况和意外事件的反应,从而帮助公共医疗保健决策者。
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