Medical supply transportation scheduling in pandemic
The COVID-19 pandemic has brought the world to its knees, with healthcare systems struggling to cope with the surge in demand for medical supplies. One of the major challenges faced by healthcare providers has been the transportation of essential medical supplies from manufacturers to hospitals and...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Penerbit Universiti Malaysia Perlis
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/110573/ |
| _version_ | 1848865553627742208 |
|---|---|
| author | Ab Rahmin, Nor Aliza Wan Ahmad Shamsudin, Wan Ammar Mat Hashim, Risman |
| author_facet | Ab Rahmin, Nor Aliza Wan Ahmad Shamsudin, Wan Ammar Mat Hashim, Risman |
| author_sort | Ab Rahmin, Nor Aliza |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The COVID-19 pandemic has brought the world to its knees, with healthcare systems struggling to cope with the surge in demand for medical supplies. One of the major challenges faced by healthcare providers has been the transportation of essential medical supplies from manufacturers to hospitals and clinics. The pandemic has exposed the weaknesses in our supply chain systems and has highlighted the need for a more resilient and efficient transportation network. This project aims to investigate the medical supply problem during the pandemic, with a focus on transportation. It uses the Simple Heuristic Method and C programming language. The data generated using exponential distribution. The result shows that the application of the Simple Heuristic Method can minimize and optimize transportation time, providing a solution to the medical supply problem during pandemics. This project examine the challenges faced by healthcare providers in sourcing and transporting essential medical supplies and the impact of the pandemic on transportation networks. The results of this research provide valuable insights into the medical supply problem during pandemics and help inform the development of more effective transportation systems for the healthcare industry. |
| first_indexed | 2025-11-15T14:06:32Z |
| format | Article |
| id | upm-110573 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T14:06:32Z |
| publishDate | 2024 |
| publisher | Penerbit Universiti Malaysia Perlis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1105732024-06-13T02:52:32Z http://psasir.upm.edu.my/id/eprint/110573/ Medical supply transportation scheduling in pandemic Ab Rahmin, Nor Aliza Wan Ahmad Shamsudin, Wan Ammar Mat Hashim, Risman The COVID-19 pandemic has brought the world to its knees, with healthcare systems struggling to cope with the surge in demand for medical supplies. One of the major challenges faced by healthcare providers has been the transportation of essential medical supplies from manufacturers to hospitals and clinics. The pandemic has exposed the weaknesses in our supply chain systems and has highlighted the need for a more resilient and efficient transportation network. This project aims to investigate the medical supply problem during the pandemic, with a focus on transportation. It uses the Simple Heuristic Method and C programming language. The data generated using exponential distribution. The result shows that the application of the Simple Heuristic Method can minimize and optimize transportation time, providing a solution to the medical supply problem during pandemics. This project examine the challenges faced by healthcare providers in sourcing and transporting essential medical supplies and the impact of the pandemic on transportation networks. The results of this research provide valuable insights into the medical supply problem during pandemics and help inform the development of more effective transportation systems for the healthcare industry. Penerbit Universiti Malaysia Perlis 2024-02 Article PeerReviewed Ab Rahmin, Nor Aliza and Wan Ahmad Shamsudin, Wan Ammar and Mat Hashim, Risman (2024) Medical supply transportation scheduling in pandemic. Applied Mathematics and Computational Intelligence, 13 (1). pp. 84-108. ISSN 2289-1323; ESSN: 2289-1315 https://ejournal.unimap.edu.my/index.php/amci/article/view/252 10.58915/amci.v13iNo.1.252 |
| spellingShingle | Ab Rahmin, Nor Aliza Wan Ahmad Shamsudin, Wan Ammar Mat Hashim, Risman Medical supply transportation scheduling in pandemic |
| title | Medical supply transportation scheduling in pandemic |
| title_full | Medical supply transportation scheduling in pandemic |
| title_fullStr | Medical supply transportation scheduling in pandemic |
| title_full_unstemmed | Medical supply transportation scheduling in pandemic |
| title_short | Medical supply transportation scheduling in pandemic |
| title_sort | medical supply transportation scheduling in pandemic |
| url | http://psasir.upm.edu.my/id/eprint/110573/ http://psasir.upm.edu.my/id/eprint/110573/ http://psasir.upm.edu.my/id/eprint/110573/ |