Stock management in hospital pharmacy using chance-constrained model predictive control
One of the most important problems in the pharmacy department of a hospital is stock management. The clinical needs of drugs must be satisfied with limited work labor while minimizing the use of economical resources. The complexity of the problem resides in the random nature of the drug demand and t...
| Autores: | , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/89382 |
| Acceso en línea: | https://hdl.handle.net/2117/89382 https://dx.doi.org/10.1016/j.compbiomed.2015.11.011 |
| Access Level: | acceso abierto |
| Palabra clave: | control system synthesis control theory optimisation predictive control hospital pharmacy inventory management model predictive control chance constraints Classificació INSPEC::Control theory::Control system synthesis Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Sumario: | One of the most important problems in the pharmacy department of a hospital is stock management. The clinical needs of drugs must be satisfied with limited work labor while minimizing the use of economical resources. The complexity of the problem resides in the random nature of the drug demand and the multiple constraints that must be taken into account in every decision. In this article, chance-constrained model predictive control is proposed to deal with this problem. The flexibility of model predictive control allows taking into account explicitly the different objectives and constraints involved in the problem while the use of chance constraints provides a trade-off between conservativeness and efficiency. The solution proposed is assessed to study its implementation in two Spanish hospitals |
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