Dynamic analysis of NGO emergency relief goods supply

2020 Hubei Covid-19 as a case

Datos Bibliográficos

ID22073404
AutoresYi Lü (0000-0001-7614-6661, Sichuan University, autor de correspondencia), Yuhang Wang (0009-0008-9915-9121, Sichuan University)
Año2023
Volumen11
Páginas1037846-1037846
Fecha de publicación2023-02-07
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1037846
PMID36825146
OpenAlexW4319444087
IdiomaEN
Citas recibidas1
Referencias citadas50

Intention: Global emergencies cause significant damage to lives, assets, and the economy. Therefore, the supply of relief goods is essential in emergency relief contexts, which is generally the function of non-government organizations (NGOs) as they have unique relief goods supply advantages. However, few studies have explored the influencing factors on NGO relief goods supply efficiency. To systematically explore the factors affecting supply efficiency, we aim to develop a supply chain model for simulating and providing policy suggestions. Method: Taking the 2020 Hubei COVID-19 as case study, this research developed a system dynamic (SD) model for the NGO relief supply system to evaluate and quantify the impact of factor changes on relief supplies. Conclusion: It was found that transportation and information delays aggravated the NGO emergency supply chain bullwhip effect and caused large supply fluctuations. The initial relief goods inventory was found to be a decisive factor in reducing shortages in disaster areas; however, government support was found to play only a limited role in reducing information and transportation delays. Value: This study enriches NGO emergency supply chain literature and provides suggestions for guiding NGO relief goods supplies in the future

2019-20 coronavirus outbreak · Business · Economic growth · Economics · Emergency management · Environmental planning · Geography · Medical emergency · Outbreak · Pandemic · Disaster Management and Resilience · Facility Location and Emergency Management · Medicine · Supply Chain Resilience and Risk Management · Virology