| dc.description.abstract | This thesis introduces and examines various challenges within the blood bank system,
particularly focusing on aspects less frequently explored in the literature, such as
production alternatives and the consideration of demand and supply uncertainties
throughout both production and inventory stages. To analyze and test the proposed methods,
a discrete event simulation model was developed using Arena 16.0 (Rockwell Software).
Additionally, optimization, inventory replenishment, and data forecasting methods were
employed to address the identified issues.
The model was tested using data from a blood bank in District 5, Ho Chi Minh City. The
results indicate that key performance indicators, including the number of blood units
received, shortages, and outdated units, are significantly improved using the proposed
approach. After running the model and analyzing its results, the complete approach was
applied to a case study, generating several scenarios to evaluate different output changes.
Notably, the results from the COVID-19 scenario highlighted specific blood types
contributing to the issue, providing insights for subsequent improvements. | en_US |
