Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate
Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate
Running a cost-effective human blood transfusion supply chain challenges decision makers in blood services world-wide. In this paper, we develop a Markov decision process with the objective of minimising the overall costs of internal and external collections, storing, producing and disposing of blood bags, whilst explicitly considering the probability that a donated blog bag will perish before demanded. The model finds an optimal policy to collect additional bags based on the number of bags in stock rather than using information about the age of the oldest item. Using data from the literature, we validate our model and carry out a case study based on data from a large blood supplier in South America. The study helped achieve an overall increase of 4.5% in blood donations in one year.
Blood, Blood management, OR in health services, Perishable inventory, Stochastic modeling
101791
Soares, Henrique L.F.
c06c1956-c5e8-4245-ba30-550f7b1d9f93
Arruda, Edilson F.
8eb3bd83-e883-4bf3-bfbc-7887c5daa911
Bahiense, Laura
48a5c2a4-d43b-4445-983f-e0637753074e
Gartner, Daniel
fbe94ad1-bea5-441c-89aa-c5327e450f4b
Amorim Filho, Luiz
915bde47-c38b-4857-968e-3f6b96ab3640
April 2020
Soares, Henrique L.F.
c06c1956-c5e8-4245-ba30-550f7b1d9f93
Arruda, Edilson F.
8eb3bd83-e883-4bf3-bfbc-7887c5daa911
Bahiense, Laura
48a5c2a4-d43b-4445-983f-e0637753074e
Gartner, Daniel
fbe94ad1-bea5-441c-89aa-c5327e450f4b
Amorim Filho, Luiz
915bde47-c38b-4857-968e-3f6b96ab3640
Soares, Henrique L.F., Arruda, Edilson F., Bahiense, Laura, Gartner, Daniel and Amorim Filho, Luiz
(2020)
Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate.
Artificial Intelligence in Medicine, 104, , [101791].
(doi:10.1016/j.artmed.2020.101791).
Abstract
Running a cost-effective human blood transfusion supply chain challenges decision makers in blood services world-wide. In this paper, we develop a Markov decision process with the objective of minimising the overall costs of internal and external collections, storing, producing and disposing of blood bags, whilst explicitly considering the probability that a donated blog bag will perish before demanded. The model finds an optimal policy to collect additional bags based on the number of bags in stock rather than using information about the age of the oldest item. Using data from the literature, we validate our model and carry out a case study based on data from a large blood supplier in South America. The study helped achieve an overall increase of 4.5% in blood donations in one year.
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Accepted/In Press date: 2 January 2020
e-pub ahead of print date: 8 January 2020
Published date: April 2020
Additional Information:
Copyright © 2020 Elsevier B.V. All rights reserved.
Keywords:
Blood, Blood management, OR in health services, Perishable inventory, Stochastic modeling
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Local EPrints ID: 444886
URI: http://eprints.soton.ac.uk/id/eprint/444886
ISSN: 0933-3657
PURE UUID: a70faf1e-a896-4f48-8704-48aecff2d4d4
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Date deposited: 09 Nov 2020 17:32
Last modified: 18 Mar 2024 03:59
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Contributors
Author:
Henrique L.F. Soares
Author:
Edilson F. Arruda
Author:
Laura Bahiense
Author:
Daniel Gartner
Author:
Luiz Amorim Filho
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