Applying linear programming for logistics distribution of essential relief items during COVID-19 lockdown: evidence from Bangladesh

Adnan, Ziaul Haq, Ashik, Abdul Hai, Rahman, Muntasina, Bhuiyan, Sherajus Shalahin and Ganguly, Anirban (2022) Applying linear programming for logistics distribution of essential relief items during COVID-19 lockdown: evidence from Bangladesh. International Journal of Logistics Economics and Globalisation, 9 (3). pp. 191-204. ISSN 1741-5381

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Abstract

COVID-19 induced lockdowns have made it extremely difficult for the poorer section of the community to arrange sustenance items like food and medicines due to the lack of cash flow coupled with the closure of markets. Although multiple organisations took initiatives to help this vulnerable cohort by distributing essential items, they ended up either oversupplying or undersupplying at different regions due to the lack of a reference framework. Hence, the study develops a model to aid the national relief distribution process during a pandemic. This study considers the capacitated plant location model and applies the linear programming tool to formulate and solve the model. The model assigns a target and service zones, to relief organisations based on their capacity and proximity and avoid redundant relief goods to easily accessible areas. The model can be used by government, private, and non-profit alike to distribute relief during any similar future events as well.

Item Type: Article
Keywords: COVID-19 pandemic | Essential items | Relief distribution | Capacitated plant location model | Linear programming | Bangladesh
Subjects: Social Sciences and humanities > Business, Management and Accounting > Industrial relations
Social Sciences and humanities > Social Sciences > Health (Social sciences)
JGU School/Centre: Jindal Global Business School
Depositing User: Mr. Syed Anas
Date Deposited: 08 Mar 2022 06:56
Last Modified: 08 Mar 2022 06:56
Official URL: https://www.inderscienceonline.com/doi/abs/10.1504...
URI: https://pure.jgu.edu.in/id/eprint/1524

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