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Stock management in hospital pharmacy using chance-constrained model predictive control

Autor
Jurado, I.; Maestre, J.; Velarde, P.; Ocampo-Martinez, C.A.; Fernandez, I.; Isla, B.; del Prado, J.
Tipus d'activitat
Article en revista
Revista
Computers in biology and medicine
Data de publicació
2016-05-01
Volum
72
Pàgina inicial
248
Pàgina final
255
DOI
https://doi.org/10.1016/j.compbiomed.2015.11.011 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/89382 Obrir en finestra nova
URL
http://www.computersinbiologyandmedicine.com/article/S0010-4825(15)00379-0/abstract Obrir en finestra nova
Resum
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 ...
Citació
Jurado, I., Maestre, J., Velarde, P., Ocampo-Martinez, C.A., Fernandez, I., Isla, B., del Prado, J. Stock management in hospital pharmacy using chance-constrained model predictive control. "Computers in biology and medicine", 1 Maig 2016, vol. 72, p. 248-255.
Paraules clau
chance constraints, control system synthesis, control theory, hospital pharmacy, inventory management, model predictive control, optimisation, predictive control
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants

  • Jurado, Isabel  (autor)
  • Maestre Torreblanca, José María  (autor)
  • Velarde, Pablo  (autor)
  • Ocampo Martinez, Carlos A.  (autor)
  • Fernandez, Isabel  (autor)
  • Isla Tejera, Beatriz  (autor)
  • del Prado, José Ramón  (autor)