Predictive Analysis of Supply Chain Decisions for Emergency Resource Supply in COVID 19 Pandemic

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Abstract

The demands of different regions can be predicted and supplies may be dispatched by the central agencies based on certain predictions. Region-wise growth factors of Covid-19, diabetic patients, cardiovascular patients and other important factors are taken to generate a priority metric based on the correlation matrix, which is calculated from the different covariance matrix against different influencing factors including growth factor and doubling period. All the factors are normalized on a scale of 1 to 10 to adjust different quantities from all the factors. A dynamic priority queue is used to store the priority scores of each region, which is calculated from all the correlation values of correlated factors with respect to growth factor. Priority for each region is calculated and stored in the priority queue and sorted it in decreasing order, based on which, the supply of food and emergency supplies are dispatched according to the priority of different regions.
面向COVID - 19大流行应急资源供应的供应链决策预测分析
不同地区的需求可以预测,中央机构可以根据一定的预测调度供应。选取不同地区的新冠肺炎生长因子、糖尿病患者、心血管患者等重要因素,根据生长因子、倍增期等不同影响因素的不同协方差矩阵计算出基于相关矩阵的优先度度量。所有因素按1到10的比例进行归一化,以调整所有因素的不同数量。使用动态优先级队列存储各区域的优先级分数,该分数由相关因子相对于生长因子的所有相关值计算得到。计算各区域的优先级,将其存入优先级队列中,并对优先级队列从小到大进行排序,根据优先级队列对不同区域的食品和应急物资进行分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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