| Título | An application of chance-constrained model predictive control to inventory management in Hospitalary Pharmacy |
|---|---|
| Autores | Maestre J.M. , VELARDE RUEDA, PABLO ANIBAL, JURADO FLORES, ISABEL, Ocampo-Martinez C. , Fernandez I. , Isla Tejera B. , Del Prado J.R. |
| Publicación externa | No |
| Medio | Proc IEEE Conf Decis Control |
| Alcance | Conference Paper |
| Naturaleza | Científica |
| Web | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988274759&doi=10.1109%2fCDC.2014.7040313&partnerID=40&md5=0dcf357b445e9d2b9db2bfe51225a087 |
| Fecha de publicacion | 01/01/2014 |
| Scopus Id | 2-s2.0-84988274759 |
| DOI | 10.1109/CDC.2014.7040313 |
| Abstract | Inventory management is one of the main tasks that the pharmacy department has to carry out in a hospital. It is a complex problem that requires to establish a tradeoff between different and contradictory optimization criteria. The complexity of the problem is increased due to the constraints that naturally arise in this type of applications. In this paper, which corresponds to preliminary works performed to implement advanced control techniques for pharmacy management in two Spanish hospitals, we propose and assess chance-constrained model predictive control (CC-MPC) as a mean to relieve this issue. © 2014 IEEE. |
| Palabras clave | Hospitals; Inventory control; Predictive control systems; Advanced control; Chance-constrained model; Complex problems; Inventory management; Main tasks; Optimization criteria; Model predictive control |
| Miembros de la Universidad Loyola |