Mathematical model to manage the inventory of the blood bank of a hospital center

In this article, a mathematical model is developed for the planning and control of the red blood cells inventory in the blood bank of a hospital center (3rd level) located in Cali, Colombia. This model pretends to provide an adequate level of service to users, reducing operating costs incurred in th...

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Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/12299
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/11853
https://repositorio.uptc.edu.co/handle/001/12299
Palabra clave:
Blood supply chain
Control of blood inventories
Mathematical model
Cadena de suministro de sangre
CaControl de inventarios de sangre
Modelamiento matemático
Rights
License
http://purl.org/coar/access_right/c_abf3
Description
Summary:In this article, a mathematical model is developed for the planning and control of the red blood cells inventory in the blood bank of a hospital center (3rd level) located in Cali, Colombia. This model pretends to provide an adequate level of service to users, reducing operating costs incurred in the expiration of blood units and in procurement from external suppliers, contributing to solve the problems present in El Valle del Cauca and some regions of Colombia, with lacks of blood banks. At first place, the demand of red blood cells is characterized. Then, the construction of the mathematical model is made, based on linear programming by goals where random variables are used to consider the expiration and substitution for compatibility of the blood units and a treatment of flexible restrictions is given to the objectives. Each objective demands penalty for being spent, obsolete and external purchases of blood units. It was possible to use the model of 8087 variables through AMPL algebraic modeling, obtaining specific results for each blood group. The operability and results of the model were verified with a high degree of reliability through discrete simulation where several scenarios were recreated. In conclusion, this model is a formal and structured tool for the planning and control of the blood supply linked to other hospital centers.