Now showing items 1-5 of 5

  • An application of chance-constrained model predictive control to inventory management in hospitalary pharmacy 

    Maestre Torreblanca, José María; Velarde, Pablo; Jurado, Isabel; Ocampo-Martínez, Carlos; Isla Tejera, Beatriz; del Prado, José Ramón (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference report
    Open Access
    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 ...
  • Application of robust model predictive control to a renewable hydrogen-based microgrid 

    Velarde, Pablo; Maestre Torreblanca, José María; Ocampo-Martínez, Carlos; Bordons Alba, Carlos (2016)
    Conference report
    Open Access
    In order to cope with uncertainties present in the renewable energy generation, as well as in the demand consumer, we propose in this paper the formulation and comparison of three robust model predictive control techniques, ...
  • On the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid 

    Velarde, Pablo; Valverde Isorna, Luis; Maestre Torreblanca, José María; Ocampo-Martínez, Carlos; Bordons Alba, Carlos (2017-03-01)
    Article
    Open Access
    In this paper, a performance comparison among three well-known stochastic model predictive control approaches, namely, multi-scenario, tree-based, and chance-constrained model predictive control is presented. To this end, ...
  • Stochastic model predictive control approaches applied to drinking water networks 

    Grosso Pérez, Juan Manuel; Velarde, Pablo; Ocampo-Martínez, Carlos; Maestre Torreblanca, José María; Puig Cayuela, Vicenç (2017-07-01)
    Article
    Open Access
    Control of drinking water networks is an arduous task, given their size and the presence of uncertainty in water demand. It is necessary to impose different constraints for ensuring a reliable water supply in the most ...
  • Stock management in hospital pharmacy using chance-constrained model predictive control 

    Jurado, Isabel; Maestre Torreblanca, José María; Velarde, Pablo; Ocampo-Martínez, Carlos; Fernandez, Isabel; Isla Tejera, Beatriz; del Prado, José Ramón (Elsevier, 2016-05-01)
    Article
    Open Access
    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 ...