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

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

Sankalpa Chowdhury, Swarnavo Mondal, Kumari Honey, Shibakali Gupta
Copyright: © 2022 |Pages: 23
DOI: 10.4018/IJAL.302094
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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.
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Ii. Data Used In This Paper

Initially we used some of the data, and with this data we calculated other datasets.

The initial dataset is-

Table 1.
Showing different initial data
StateNo of bedsDensity (/km2)PopulationArea(km2)No of Active Cases
Chandigarh3756555105545011415
Maharashtra68998350112374333307713240
Tamil Nadu72616259872147030130058280
Madhya Pradesh381401237262680930824560
Gujarat411293126043969219602475

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