Minimization of Drug Shortages in Pharmaceutical Supply Chains: A Simulation-Based Analysis of Drug Recall Patterns and Inventory Policies

Minimization of Drug Shortages in Pharmaceutical Supply Chains: A Simulation-Based Analysis of Drug Recall Patterns and Inventory Policies
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DOI:
10.1155/2018/6348413
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发表时间:
2018-01-01
期刊:
影响因子:
2.3
通讯作者:
Jalali, Mohammad S.
Jalali, Mohammad S.
中科院分区:
工程技术4区
文献类型:
--
作者:
Azghandi, Rana;Griffin, Jacqueline;Jalali, Mohammad S.

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过去十年的药品短缺危机不仅增加了医疗保健成本,而且危及美国各地患者的健康。确保医疗中心的患者可以获得任何药物是官方医疗管理人员和供应链的其他利益相关者继续面临的问题。此外,管理药品供应链非常复杂,因为这些供应链中出现了不可避免的中断(外部因素),然后成员在中断后做出决定(内部因素)。中断可能是由于需求增加、产品召回或制造商中断而发生的,其中对药品供应链中经常发生的产品召回的研究最少。我们采用一个数学模拟模型来研究考虑不同破坏特征的产品召回的影响,例如,在时间和空间上的传播,以及决策者对药品短缺的互动,以确定如何通过改变库存政策决定来缓解短缺。我们还测量了不同的政策方法对供应链中断的影响,使用两个性能指标:库存水平和医疗保健中心的产品短缺。然后,我们分析的结果,使用类似于数据分析的方法来表征的有效边界(最佳库存政策)的两个性能指标的不同成本比,因为它们对应于不同的中断模式。这种分析提供了洞察选择一个不适当的库存政策时,发生中断的后果。
The drug shortage crisis in the last decade not only increased health care costs but also jeopardized patients' health across the United States. Ensuring that any drug is available to patients at health care centers is a problem that official health care administrators and other stakeholders of supply chains continue to face. Furthermore, managing pharmaceutical supply chains is very complex, as inevitable disruptions occur in these supply chains (exogenous factors), which are then followed by decisions members make after such disruptions (internal factors). Disruptions may occur due to increased demand, a product recall, or a manufacturer disruption, among which product recallswhich happens frequently in pharmaceutical supply chainsare least studied. We employ a mathematical simulation model to examine the effects of product recalls considering different disruption profiles, e.g., the propagation in time and space, and the interactions of decision makers on drug shortages to ascertain how these shortages can be mitigated by changing inventory policy decisions. We also measure the effects of different policy approaches on supply chain disruptions, using two performance measures: inventory levels and shortages of products at health care centers. We then analyze the results using an approach similar to data envelopment analysis to characterize the efficient frontier (best inventory policies) for varying cost ratios of the two performance measures as they correspond to the different disruption patterns. This analysis provides insights into the consequences of choosing an inappropriate inventory policy when disruptions take place.