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

Author
Jurado, I.; Maestre, J.; Velarde, P.; Ocampo-Martinez, C.; Fernandez, I.; Isla, B.; del Prado, J.
Type of activity
Journal article
Journal
Computers in biology and medicine
Date of publication
2016-05-01
Volume
72
First page
248
Last page
255
DOI
https://doi.org/10.1016/j.compbiomed.2015.11.011 Open in new window
Repository
http://hdl.handle.net/2117/89382 Open in new window
URL
http://www.computersinbiologyandmedicine.com/article/S0010-4825(15)00379-0/abstract Open in new window
Abstract
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 ...
Citation
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.
Keywords
chance constraints, control system synthesis, control theory, hospital pharmacy, inventory management, model predictive control, optimisation, predictive control
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

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