Optimisation and control of the supply of blood bags in hemotherapic centres via Markov Decision Process with discounted arrival rate

Soares, Henrique, Fernandes De Arruda, Edilson, Bahiense, Laura, Gartner, Daniel ORCID: https://orcid.org/0000-0003-4361-8559 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 10.1016/j.artmed.2020.101791

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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.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Mathematics
Subjects:	Q Science > QA Mathematics R Medicine > RZ Other systems of medicine
Publisher:	Elsevier
ISSN:	0933-3657
Date of First Compliant Deposit:	24 January 2020
Date of Acceptance:	2 January 2020
Last Modified:	03 Dec 2024 20:00
URI:	https://orca.cardiff.ac.uk/id/eprint/128972

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