Pan Wei, Guo Ying, Jin Lei, Liao ShuJie
School of Economic and Management, Wuhan University, Wuhan, China.
School of Management, Shandong University, Jinan, China.
PLoS One. 2017 Sep 20;12(9):e0183472. doi: 10.1371/journal.pone.0183472. eCollection 2017.
With the high accident rate of civil aviation, medical resource inventory becomes more important for emergency management at the airport. Meanwhile, medical products usually are time-sensitive and short lifetime. Moreover, we find that the optimal medical resource inventory depends on multiple factors such as different risk preferences, the material shelf life and so on. Thus, it becomes very complex in a real-life environment. According to this situation, we construct medical resource inventory decision model for emergency preparation at the airport. Our model is formulated in such a way as to simultaneously consider uncertain demand, stochastic occurrence time and different risk preferences. For solving this problem, a new programming is developed. Finally, a numerical example is presented to illustrate the proposed method. The results show that it is effective for determining the optimal medical resource inventory for emergency preparation with uncertain demand and stochastic occurrence time under considering different risk preferences at the airport.
随着民航事故率的居高不下,医疗资源盘点对于机场应急管理变得愈发重要。同时,医疗产品通常对时间敏感且保质期较短。此外,我们发现最优医疗资源库存取决于多种因素,如不同的风险偏好、物资保质期等。因此,在现实生活环境中这变得非常复杂。针对这种情况,我们构建了机场应急准备的医疗资源库存决策模型。我们的模型以同时考虑不确定需求、随机发生时间和不同风险偏好的方式制定。为解决此问题,开发了一种新的规划方法。最后,给出一个数值示例来说明所提出的方法。结果表明,该方法对于在考虑机场不同风险偏好的情况下,确定具有不确定需求和随机发生时间的应急准备最优医疗资源库存是有效的。