BLOOD BANK LOCATION MODEL

The operation of blood service facilities plays a vital role in the global healthcare system. However, due to theunique challenges associated with these services, there has been limited modeling and analysis from theperspective of supply chain network optimization. Consequently, this lack of strategic planning can hinder theefficiency of logistics and supply chain systems, particularly when it comes to selecting optimal locations forblood service facilities. The design of the blood supply network entails critical strategic decisions variables. Apiecewise nonlinear optimization approach is applied to solve the model, particularly for making effectivecluster location and allocation decisions. Furthermore, a sensitivity analysis is carried out to assess how differentmodel parameters influence the overall cost of the supply chain network per unit time.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-15
DOI
https://doi.org/10.5281/zenodo.15424522
Primary Topic
Blood donation and transfusion practices
Type
article
Field-Weighted Citation Impact
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article

BLOOD BANK LOCATION MODEL

Zenodo (CERN European Organization for Nuclear Research)
Blood donation and transfusion practices
article

BLOOD BANK LOCATION MODEL

article en

Abstract

The operation of blood service facilities plays a vital role in the global healthcare system. However, due to theunique challenges associated with these services, there has been limited modeling and analysis from theperspective of supply chain network optimization. Consequently, this lack of strategic planning can hinder theefficiency of logistics and supply chain systems, particularly when it comes to selecting optimal locations forblood service facilities. The design of the blood supply network entails critical strategic decisions variables. Apiecewise nonlinear optimization approach is applied to solve the model, particularly for making effectivecluster location and allocation decisions. Furthermore, a sensitivity analysis is carried out to assess how differentmodel parameters influence the overall cost of the supply chain network per unit time.

Zenodo (CERN European Organization for Nuclear Research)
Sambalpur University (IN), International Institute of Information Technology (IN)
Openalex Percentile: Top 39%
Blood donation and transfusion practices
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