| Autor: |
Amir Aghsami, Seyed Reza Abazari, Alireza Bakhshi, Mohammad Amin Yazdani, Soroush Jolai, Fariborz Jolai |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Healthcare Analytics, Vol 3, Iss , Pp 100136- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2772-4425 |
| DOI: |
10.1016/j.health.2023.100136 |
| Popis: |
Blood and blood banks play an essential role in patient care. This study proposes a novel mathematical model for Blood Supply Chains (BSCs), which minimizes the total costs and maximizes donor satisfaction by reducing the system’s waiting time. The model addresses several aspects of the BSC, such as locating collection centers, allocating blood donors to collection centers, inventory control in the main blood center, blood shortage and deterioration considerations, and queueing systems in collection centers over a planning horizon. Queueing systems lead to a better understanding of the BSC and provide an opportunity to investigate donors’ attendance and waiting times. A real-world case study is presented and solved using a new meta-heuristic algorithm to illustrate the model’s applicability. Finally, sensitivity analyses are performed, and several beneficial managerial insights are provided. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
