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首页> 外文期刊>Journal of advances in management research >Measuring performance of government-supported drug warehouses using DEA to improve quality of drug distribution
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Measuring performance of government-supported drug warehouses using DEA to improve quality of drug distribution

机译：使用DEA来提高药物分布质量的政府支持的药物仓库的性能

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Purpose - Drug warehouses (DWs) play a crucial role in drug distribution of government-supported healthcare supply chain as it controls both the cost and responsiveness of the logistics activities. The current study proposes a methodology using data envelopment analysis (DEA) to estimate the performance along different dimensions and was applied to 30 government-supported DWs. Design/methodology/approach - This study employs DEA to evaluate the performance and relative technical efficiency of DWs. In this research, four inputs and six outputs are identified based on intensive literature review and discussion with all stakeholders of DWs. The inputs are warehouse storage capacity, temperature-controlled storage capacity, number of skilled employees and operational cost, while the outputs are fill rate, number of generic drugs, volume of drugs, consumption points, inventory turns ratio and time efficiency. Findings - Results show that 30% DWs operate at the most productive scale size with 100% efficiency level while 47% DWs have a significant possibility for further enhancement in productive efficiency and 23% DWs should diminish their operational size to increase their productivity leveL It was also found that achieving 100% operational productivity along warehouse space capacity needs significant effort, whereas other three inputs, namely temperature-controlled capacity, number of skilled employees and operational cost, require comparatively less effort. Similarly, it was observed that the performance along the fill rate and time efficiency is satisfactory, whereas the performance along other fours output variables (i.e. number of generic drugs, volume of drugs, consumption points and inventory turns ratio) needs to be improved. Practical implications - The findings offer insights on the inputs and outputs that significantly contribute to efficiencies so that inefficient DWs can focus on these factors. Originality/value - Although many issues related to DEA have been widely researched and reported, but no literature has been found for analysis of DWs in general and government-supported DWs specifically to find out efficiencies for supply chain performance improvement.
机译：目的 - 药物仓库（DWS）在政府支持的医疗供应链的药物分布中发挥着至关重要的作用，因为它控制了物流活动的成本和响应性。目前的研究提出了一种使用数据包络分析（DEA）的方法来估算沿不同维度的性能，并应用于30个政府支持的DWS。设计/方法/方法 - 本研究采用DEA评估DWS的性能和相对技术效率。在本研究中，基于密集的文献审查和与所有DWS的所有利益相关者讨论来确定四个输入和六个输出。该投入是仓库存储容量，温度控制的存储容量，熟练的员工人数和运营成本，而输出是填充率，通用药物数量，药物数量，消费点，库存转动比率和时间效率。结果表明，30％的DWS以最高效的规模尺寸运行，效率水平为100％，而47％的DWS在生产效率方面进一步提高有可能的可能性，23％的DWS应减少其运行规模，以提高其生产率水平另发现，沿仓库空间容量实现100％的运营生产率需要大量努力，而其他三个投入，即温度控制的容量，熟练的员工数量和运营成本，需要相对较低。类似地，观察到沿填充率和时间效率的性能令人满意，而沿其他四个输出变量的性能（即通用药物的数量，药物量，消费点和库存转向比）需要得到改善。实际意义 - 调查结果为投入和产出提供了深切促进效率的洞察，以便低效的DW可以关注这些因素。原创性/价值 - 尽管已经过许多与DEA有关的问题已被广泛研究和报告，但没有发现对一般和政府支持的DWS的DWS分析的文献，专门用于找出供应链绩效改进的效率。

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