Autor: |
Duangpun Kritchanchai, Rawinkhan Srinon, Pongtorn Kietdumrongwong, Jirawan Jansuwan, Nittaya Phanuphak, Wirachchaya Chanpuypetch |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Heliyon, Vol 10, Iss 12, Pp e33177- (2024) |
Druh dokumentu: |
article |
ISSN: |
2405-8440 |
DOI: |
10.1016/j.heliyon.2024.e33177 |
Popis: |
This study investigates the enhancement of the home delivery distribution network for COVID-19 Home Isolation (HI) kits during the Delta variant outbreak of the SARS-CoV-2 virus in Bangkok Metropolitan Area, Thailand. It addresses challenges related to limited resources and delays in delivering HI kits, which can exacerbate symptoms and increase mortality rates. A k-means clustering approach is utilized to optimize the assignment of service areas within the COVID-19 HI program, while discrete event simulation (DES) evaluates potential changes in the home delivery logistics network. Real-world data from the peak outbreak is used to determine the optimal allocation of resources and propose a new logistics network based on proximity to patients' residences. Experimental results demonstrate a significant 44.29 % improvement in overall performance and a substantial 40.80 % decrease in maximum service time. The findings offer theoretical and managerial implications for effective HI management, supporting practitioners and policymakers in mitigating the impact of future outbreaks. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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