Simulation-optimization model for production planning in the blood supply chain.
Health Care Manag Sci
; 20(4): 548-564, 2017 Dec.
Article
en En
| MEDLINE
| ID: mdl-27262292
Production planning in the blood supply chain is a challenging task. Many complex factors such as uncertain supply and demand, blood group proportions, shelf life constraints and different collection and production methods have to be taken into account, and thus advanced methodologies are required for decision making. This paper presents an integrated simulation-optimization model to support both strategic and operational decisions in production planning. Discrete-event simulation is used to represent the flows through the supply chain, incorporating collection, production, storing and distribution. On the other hand, an integer linear optimization model running over a rolling planning horizon is used to support daily decisions, such as the required number of donors, collection methods and production planning. This approach is evaluated using real data from a blood center in Colombia. The results show that, using the proposed model, key indicators such as shortages, outdated units, donors required and cost are improved.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Bancos de Sangre
/
Modelos Organizacionales
/
Almacenamiento de Sangre
Tipo de estudio:
Evaluation_studies
/
Prognostic_studies
Límite:
Humans
País/Región como asunto:
America do sul
/
Colombia
Idioma:
En
Revista:
Health Care Manag Sci
Asunto de la revista:
SERVICOS DE SAUDE
Año:
2017
Tipo del documento:
Article
Pais de publicación:
Países Bajos