Pharmaceutical supply chains (PSCs) are responsible for guaranteeing that the right people receive the right medication at the right time and in the right conditions. These responsibilities make PSC very complex and subsequently increase their vulnerability and disturbance probability. Resilience engineering (RE) can enable supply chain managers to cope with disruptions and to help them maintain their efficient performance. This study proposes a unique RE framework for performance optimization of the pharmaceutical sector in a veterinary organization. A standard questionnaire was used to collect the required data. Next, data envelopment analysis (DEA) and fuzzy data envelopment analysis (FDEA) approaches were employed to formulate the problem. Sensitivity analysis was performed based on the most appropriate model of DEA and FDEA. The results showed that redundancy was the most effective factor in enhancing efficiency in PSCs in the veterinary organization. This is one of the first studies that investigate the influence of resilience indicators on PSC through DEA/FDEA and statistical methods.

中文翻译：

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独特的弹性工程和模糊数学框架优化药品供应链的绩效

药品供应链（PSC）负责确保合适的人在合适的时间和条件下获得合适的药物。这些责任使PSC非常复杂，从而增加了它们的脆弱性和干扰可能性。弹性工程（RE）可以使供应链管理者应对中断并帮助他们维持有效的绩效。这项研究提出了一个独特的可再生能源框架，用于兽医组织中制药部门的绩效优化。使用标准调查表收集所需数据。接下来，数据包络分析（DEA）和模糊数据包络分析（FDEA）方法被用来表述问题。基于最合适的DEA和FDEA模型进行敏感性分析。结果表明，冗余是提高兽医组织中PSC效率的最有效因素。这是最早通过DEA / FDEA和统计方法调查弹性指标对PSC影响的研究之一。