Application of queueing technique on COVID-19 vaccination distribution in Malaysia / Shazwina Amiera Shamsuddin, Nur Amiratus Solehah Salmuazam and Muhammad Alif Haikal Masron

Queueing theory is a mathematical framework used to analyze waiting lines and the related phenomenon of congestion. The COVID-19 pandemic has highlighted the importance of queueing theory in healthcare systems, particularly in the context of vaccine distribution. In this study, queueing theory is ap...

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Main Authors: Shamsuddin, Shazwina Amiera, Salmuazam, Nur Amiratus Solehah, Masron, Muhammad Alif Haikal
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/93862/1/93862.pdf
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spelling my-uitm-ir.938622024-04-19T08:39:35Z Application of queueing technique on COVID-19 vaccination distribution in Malaysia / Shazwina Amiera Shamsuddin, Nur Amiratus Solehah Salmuazam and Muhammad Alif Haikal Masron 2023 Shamsuddin, Shazwina Amiera Salmuazam, Nur Amiratus Solehah Masron, Muhammad Alif Haikal Dissertations, Academic. Preparation of theses Queueing theory is a mathematical framework used to analyze waiting lines and the related phenomenon of congestion. The COVID-19 pandemic has highlighted the importance of queueing theory in healthcare systems, particularly in the context of vaccine distribution. In this study, queueing theory is applied to analyze the queueing process of COVID-19 vaccination at a vaccination center. A single-server queueing system with exponential service times is considered. The performance of the system is analyzed in terms of average waiting time, queue length, and system utilization. In this study, the results show that the average waiting time and queue length are highly dependent on the arrival rate and services rate of the system. It also shows that increasing the number of servers or decreasing the service time can significantly reduce the average waiting time and queue length. Furthermore, the impact of vaccine hesitancy on the queueing process is analyzed, demonstrating that it can significantly increase the average waiting time and queue length. Thus, insights into the queueing process of COVID-19 vaccination were provided, emphasizing the importance of queueing theory in optimizing vaccine distribution in this situation. The findings suggested that increasing the number of vaccinations centers and addressing vaccine hesitancy could help reduce the queueing time and improve the efficiency of the vaccination process. 2023 Thesis https://ir.uitm.edu.my/id/eprint/93862/ https://ir.uitm.edu.my/id/eprint/93862/1/93862.pdf text en public Universiti Teknologi MARA, Negeri Sembilan College of Computing, Informatics and Media
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Dissertations, Academic
Preparation of theses
spellingShingle Dissertations, Academic
Preparation of theses
Shamsuddin, Shazwina Amiera
Salmuazam, Nur Amiratus Solehah
Masron, Muhammad Alif Haikal
Application of queueing technique on COVID-19 vaccination distribution in Malaysia / Shazwina Amiera Shamsuddin, Nur Amiratus Solehah Salmuazam and Muhammad Alif Haikal Masron
description Queueing theory is a mathematical framework used to analyze waiting lines and the related phenomenon of congestion. The COVID-19 pandemic has highlighted the importance of queueing theory in healthcare systems, particularly in the context of vaccine distribution. In this study, queueing theory is applied to analyze the queueing process of COVID-19 vaccination at a vaccination center. A single-server queueing system with exponential service times is considered. The performance of the system is analyzed in terms of average waiting time, queue length, and system utilization. In this study, the results show that the average waiting time and queue length are highly dependent on the arrival rate and services rate of the system. It also shows that increasing the number of servers or decreasing the service time can significantly reduce the average waiting time and queue length. Furthermore, the impact of vaccine hesitancy on the queueing process is analyzed, demonstrating that it can significantly increase the average waiting time and queue length. Thus, insights into the queueing process of COVID-19 vaccination were provided, emphasizing the importance of queueing theory in optimizing vaccine distribution in this situation. The findings suggested that increasing the number of vaccinations centers and addressing vaccine hesitancy could help reduce the queueing time and improve the efficiency of the vaccination process.
format Thesis
author Shamsuddin, Shazwina Amiera
Salmuazam, Nur Amiratus Solehah
Masron, Muhammad Alif Haikal
author_facet Shamsuddin, Shazwina Amiera
Salmuazam, Nur Amiratus Solehah
Masron, Muhammad Alif Haikal
author_sort Shamsuddin, Shazwina Amiera
title Application of queueing technique on COVID-19 vaccination distribution in Malaysia / Shazwina Amiera Shamsuddin, Nur Amiratus Solehah Salmuazam and Muhammad Alif Haikal Masron
title_short Application of queueing technique on COVID-19 vaccination distribution in Malaysia / Shazwina Amiera Shamsuddin, Nur Amiratus Solehah Salmuazam and Muhammad Alif Haikal Masron
title_full Application of queueing technique on COVID-19 vaccination distribution in Malaysia / Shazwina Amiera Shamsuddin, Nur Amiratus Solehah Salmuazam and Muhammad Alif Haikal Masron
title_fullStr Application of queueing technique on COVID-19 vaccination distribution in Malaysia / Shazwina Amiera Shamsuddin, Nur Amiratus Solehah Salmuazam and Muhammad Alif Haikal Masron
title_full_unstemmed Application of queueing technique on COVID-19 vaccination distribution in Malaysia / Shazwina Amiera Shamsuddin, Nur Amiratus Solehah Salmuazam and Muhammad Alif Haikal Masron
title_sort application of queueing technique on covid-19 vaccination distribution in malaysia / shazwina amiera shamsuddin, nur amiratus solehah salmuazam and muhammad alif haikal masron
granting_institution Universiti Teknologi MARA, Negeri Sembilan
granting_department College of Computing, Informatics and Media
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/93862/1/93862.pdf
_version_ 1804889912145608704