What drives perishable inventory management performance? Lessons learnt from the UK blood supply chain

2012 ◽  
Vol 17 (2) ◽  
pp. 107-123 ◽  
Author(s):  
Sebastian H.W. Stanger ◽  
Richard Wilding ◽  
Nicky Yates ◽  
Sue Cotton
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Blood Supply ◽  
Management Performance ◽  
Perishable Inventory ◽  
Lessons Learnt ◽  
Blood Supply Chain ◽  
The Uk

scholarly journals Designing an optimal inventory management model for the blood supply chain

Medicine ◽  
2020 ◽  
Vol 99 (29) ◽  
pp. e21208
Author(s):  
Monireh Ahmadimanesh ◽  
Ahmad Tavakoli ◽  
Alireza Pooya ◽  
Farzad Dehghanian
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Blood Supply ◽  
Management Model ◽  
Blood Supply Chain

Blood supply chain operation considering lifetime and transshipment under uncertain environment

2021 ◽  
pp. 107364
Author(s):  
Yufeng Zhou ◽  
Tiange Zou ◽  
Changshi Liu ◽  
Hongxia Yu ◽  
Liangyong Chen ◽  
...  
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Uncertain Environment ◽  
Chain Operation ◽  
Blood Supply Chain ◽  
Supply Chain Operation

scholarly journals Local Blood Supply Chain Optimization: A Case Study

2020 ◽  
Vol 18 (4) ◽  
Author(s):  
Reza Babazadeh ◽  
Ali Sabbaghnia ◽  
Fatemeh Shafipour
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Blood Donation ◽  
Programming Model ◽  
Human Life ◽  
Mixed Integer ◽  
Model Parameters ◽  
Supply Chain Optimization ◽  
Blood Supply Chain ◽  
Proposed Model

: Blood and its products play an undeniable role in human life. In recent years, although both academics and practitioners have investigated blood-related problems, further enhancement is still warranted. In this study, a mixed-integer linear programming model was proposed for local blood supply chain management. A supply network, including temporary and fixed blood donation facilities, blood banks, and blood processing centers, was designed regarding the deteriorating nature of blood. The proposed model was applied in a real case in Urmia, Iran. The numerical results and sensitivity analysis of the key model parameters ensured the applicability of the proposed model.

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