Please use this identifier to cite or link to this item:
http://hdl.handle.net/11718/24457
Title: | COVID-19 data analysis and supply chain management from operational readiness perspective |
Authors: | Singh, Dilip Aditya |
Keywords: | COVID-19 data analysis;Supply chain management;Lockdown impact |
Issue Date: | 2020 |
Publisher: | Indian Institute of Management Ahmedabad |
Abstract: | Covid-19 is a Global pandemic caused by SARS-COV-2 which has profound effect on global economy as infection transmits from human to human.There is a lot of predictive analytics going on at global level on dates by which the number of people infected will peak and there will be gradual decline in active cases.The disease has caused major disruption to supply chain of essentials as prevention for this pandemic from spreading is social distancing and that requires restriction on movement orders from government side.Almost all impacted countries in the world have done complete lockdown of country atleast once. This has created disruption to supply side of operational readiness thereby impacting life of people across the world.This project is undertaken with the aim of studying supply chain movement needed for fighting pandemic and how lockdown can be managed during pandemic times without negatively impacting lives of people.Also, studying the growth of disease using data modelling. |
URI: | http://hdl.handle.net/11718/24457 |
Appears in Collections: | Student Projects |
Files in This Item:
File | Description | Size | Format | |
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SP_2752.pdf Restricted Access | 889.77 kB | Adobe PDF | View/Open Request a copy |
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